Editor’s Choice Articles

Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.

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48 pages, 652 KB  
Review
Artificial Intelligence in Cardiovascular Medicine: A Giant Step in Personalized Medicine?
by Stanislovas S. Jankauskas, Fahimeh Varzideh, Urna Kansakar and Gaetano Santulli
J. Pers. Med. 2026, 16(4), 192; https://doi.org/10.3390/jpm16040192 - 1 Apr 2026
Cited by 4 | Viewed by 3792
Abstract
Artificial intelligence (AI) is rapidly reshaping cardiovascular (CV) medicine, driving a paradigm shift toward truly personalized and data-driven care. This comprehensive review examines the conceptual foundations, clinical applications, and future implications of AI across the CV continuum, spanning prevention, diagnosis, risk stratification, and [...] Read more.
Artificial intelligence (AI) is rapidly reshaping cardiovascular (CV) medicine, driving a paradigm shift toward truly personalized and data-driven care. This comprehensive review examines the conceptual foundations, clinical applications, and future implications of AI across the CV continuum, spanning prevention, diagnosis, risk stratification, and therapy. Core AI methodologies (including machine learning, deep learning, natural language processing, and computer vision) are discussed in the context of cardiology’s uniquely data-rich environment, encompassing imaging, electrocardiography, electronic health records, wearable devices, and multi-omics data. This systematic review highlights major clinical domains where AI has demonstrated a substantial impact, including CV imaging, ECG interpretation, hypertension and heart failure management, coronary artery disease, acute coronary syndromes, interventional cardiology, and cardiac surgery. AI-driven predictive analytics enable early detection of subclinical disease, improved prognostication, and individualized prevention strategies, while wearable technologies and remote monitoring platforms facilitate continuous, real-world patient surveillance. Emerging applications in pharmacotherapy, drug repurposing, and genomics further reinforce AI’s role in advancing precision cardiology. Equally emphasized are the ethical, legal, and social challenges accompanying AI adoption, such as algorithmic bias, data privacy, cybersecurity, interpretability, and regulatory oversight. Our review underscores the necessity of rigorous clinical validation, transparent model design, and seamless integration into clinical workflows to ensure safety, equity, and physician trust. Ultimately, AI is best positioned as an augmentative tool that complements (but does not replace!) clinical expertise. By fostering hybrid intelligence that integrates human judgment with computational power, AI has the potential to redefine CV care delivery, improve outcomes, and support a more proactive, patient-centered healthcare model. Full article
(This article belongs to the Special Issue Personalized Medicine in Cardiovascular and Metabolic Diseases)
20 pages, 824 KB  
Review
The Environmental and Global Impact of Pharmacogenomics: Advancing Green Pharmacy Toward Sustainable and Inclusive Precision Medicine
by Pálma Porrogi
J. Pers. Med. 2026, 16(4), 183; https://doi.org/10.3390/jpm16040183 - 27 Mar 2026
Cited by 2 | Viewed by 2096
Abstract
Traditional one size fits all pharmacotherapy often yields suboptimal clinical outcomes, preventable adverse drug reactions (ADRs), and significant drug waste, imposing substantial economic and ecological burdens on healthcare systems. This review evaluates the transformative potential of pharmacogenomics (PGx) testing, particularly cytochrome P450 (CYP) [...] Read more.
Traditional one size fits all pharmacotherapy often yields suboptimal clinical outcomes, preventable adverse drug reactions (ADRs), and significant drug waste, imposing substantial economic and ecological burdens on healthcare systems. This review evaluates the transformative potential of pharmacogenomics (PGx) testing, particularly cytochrome P450 (CYP) gene variants, as a foundation for an ecosystem-centric accountability framework for green pharmacy and links human metabolic variability to specific environmental outcomes. Personalized CYP profiling is shown to minimize the environmental release of unused drugs and potentially ecotoxic metabolites into aquatic ecosystems, in contrast to standard uniform drug use approaches. The limitations of ethnicity-based dosing models, which rely on population genetic variation, are examined in the context of increasing global genetic admixture. It is argued that individual genetic profiling, conceptualized as a PGx-Green Passport, provides a reliable safety standard that accounts for individual differences, thereby enhancing efficiency and well-being in a globalized society. By integrating clinical data, including real-world evidence on hospital utilization, with sustainability frameworks, this review demonstrates that PGx-guided therapy is not only a tool for clinical efficiency but also a fundamental requirement for systematically achieving environmentally sustainable healthcare. Full article
(This article belongs to the Section Pharmacogenetics)
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13 pages, 246 KB  
Review
Biomarkers in Colorectal Cancer: Clinically Relevant Diagnostic and Prognostic Molecular Features, and the Future of Precision Medicine
by Rebecca Whitmer, Julia Sepulveda, Jason Gandhi, Isha Puri and Rohan Gupta
J. Pers. Med. 2026, 16(3), 132; https://doi.org/10.3390/jpm16030132 - 28 Feb 2026
Cited by 3 | Viewed by 3213
Abstract
Colorectal cancer (CRC) is a major public health concern in the United States. It is currently the fourth most diagnosed cancer and, despite advancements in screening and treatment, the second leading cause of cancer-related deaths. Approximately 153,000 new cases are diagnosed annually, with [...] Read more.
Colorectal cancer (CRC) is a major public health concern in the United States. It is currently the fourth most diagnosed cancer and, despite advancements in screening and treatment, the second leading cause of cancer-related deaths. Approximately 153,000 new cases are diagnosed annually, with over 53,000 deaths reported. Understanding the molecular and genetic underpinnings of CRC biomarkers plays a crucial role in diagnosis, prognosis, and treatment planning. Specific gene mutations, including MMR deficiency leading to high microsatellite instability (MSI), as well as several other common mutations in CRC, including APC, TP53, KRAS, NRAS, SMAD4, PIK3CA and BRAF, provide valuable insights into tumor biology, therapeutic resistance, and response to targeted therapies. This review explores the mutations and co-mutations most relevant to CRC, their prevalence, prognostic significance, and implications for precision oncology. By focusing on these genetic and epigenetic alterations, we aim to contextualize how biomarker-driven strategies are reshaping the management of CRC in both early and advanced disease settings. Full article
(This article belongs to the Special Issue Cancer Biomarker and Molecular Oncology)
34 pages, 2274 KB  
Review
Deep Biological Clocks in Critical Care Medicine: A Scoping Review Toward Translational Precision Care
by Ithamar Cheyne, Magdalena Voinič, Tara Radaideh, Abdullah Daher, Julia Niezgoda, Maja Anna Romanowska and Małgorzata Mikaszewska-Sokolewicz
J. Pers. Med. 2026, 16(2), 92; https://doi.org/10.3390/jpm16020092 - 4 Feb 2026
Cited by 3 | Viewed by 1759
Abstract
Background: Outcomes after critical illness vary markedly despite similar diagnoses and severity scores, underscoring the limitations of chronological age and conventional Intensive Care Unit (ICU) prognostic tools. Personalization of critical care is increasingly essential to improve not only short-term survival but also [...] Read more.
Background: Outcomes after critical illness vary markedly despite similar diagnoses and severity scores, underscoring the limitations of chronological age and conventional Intensive Care Unit (ICU) prognostic tools. Personalization of critical care is increasingly essential to improve not only short-term survival but also long-term post-discharge outcomes. Biological aging clocks provide a quantitative framework to capture physiological reserve, immune competence, and vulnerability to stress. Methods: We conducted a scoping review of original human studies published between January 2015 and October 2025 that evaluated biological aging biomarkers in adult ICU populations. PubMed/MEDLINE, Scopus, Web of Science, and Embase were searched, with backward citation screening. Results: Across epigenetic, telomere-based, cfDNA, proteomic, metabolomic, and phenotypic aging measures, accelerated biological aging was consistently associated with increased mortality, organ dysfunction, and post-ICU vulnerability. Despite substantial methodological heterogeneity, a convergent signal emerged linking inflammation-weighted and stress-responsive deep biological clocks to clinically meaningful outcomes in critically ill patients. Conclusions: Biological aging biomarkers represent a mechanistically grounded approach to personalized prognostication in critical care. From a translational perspective, deep biological clocks hold promise for personalized risk stratification, prognostication, and the identification of high-risk recovery phenotypes, although prospective validation and implementation studies are required. Full article
(This article belongs to the Special Issue Emergency and Critical Care in the Context of Personalized Medicine)
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18 pages, 546 KB  
Review
Arteriolar Collapse and Haemodynamic Incoherence in Shock: Rethinking Critical Closing Pressure
by Ashley Miller, Philippe Rola, Rory Spiegel and Korbin Haycock
J. Pers. Med. 2026, 16(2), 78; https://doi.org/10.3390/jpm16020078 - 1 Feb 2026
Cited by 3 | Viewed by 7513
Abstract
Critical closing pressure (CCP) and the vascular waterfall have long been used to explain perfusion failure in shock, yet their physiological meaning has been inconsistently interpreted. CCP is frequently treated as a continuous downstream pressure and inserted into formulas such as mean arterial [...] Read more.
Critical closing pressure (CCP) and the vascular waterfall have long been used to explain perfusion failure in shock, yet their physiological meaning has been inconsistently interpreted. CCP is frequently treated as a continuous downstream pressure and inserted into formulas such as mean arterial pressure (MAP) − CCP, implying that a collapse threshold behaves like an opposing pressure even when vessels remain open. Drawing on classical vascular mechanics, whole-bed flow studies, microvascular models, and contemporary clinical physiology, we show that this interpretation is incorrect. Tone-dependent arteriolar collapse does not behave as a Starling resistor: CCP is a threshold at which smooth-muscle tension exceeds intraluminal pressure and vessels close, not a pressure governing flow in patent vessels. Perfusion becomes heterogeneous because different vascular beds reach their collapse thresholds at different pressures (via excessive tone, extrinsic compression, or profound hypotension), disconnecting macro-haemodynamics from microcirculatory flow. This explains why systemic variables such as MAP and systemic vascular resistance (SVR) may appear adequate even while tissues are under-perfused, a phenomenon now termed haemodynamic incoherence. Reframing CCP as a binary collapse threshold resolves longstanding contradictions in the literature, clarifies why MAP-centred targets often fail, and unifies the behaviour of shock states within a four-interface model of circulatory coupling. Therapeutically, the aim is not to “restore a waterfall” but to reopen closed vascular territories by lowering excessive tone, relieving external pressure, or raising truly low arterial inflow. This mechanistic reinterpretation provides a more coherent, physiologically grounded approach to personalised perfusion management in critical illness. Full article
(This article belongs to the Section Mechanisms of Diseases)
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17 pages, 469 KB  
Review
Neurological Complications After Thoracic Endovascular Repair (TEVAR): A Narrative Review of the Incidence, Mechanisms and Strategies for Prevention and Management
by Francesca Miceli, Marta Ascione, Rocco Cangiano, Antonio Marzano, Alessia Di Girolamo, Giovanni Gagliardo, Luca di Marzo and Wassim Mansour
J. Pers. Med. 2026, 16(2), 77; https://doi.org/10.3390/jpm16020077 - 1 Feb 2026
Cited by 3 | Viewed by 2342
Abstract
Background: Thoracic endovascular aortic repair (TEVAR) has evolved the management of descending thoracic aortic disease, but neurological complications—particularly spinal cord ischemia (SCI), stroke, and postoperative delirium—remain among the most feared adverse events, adversely affecting survival, quality of life, and functional independence. Objectives [...] Read more.
Background: Thoracic endovascular aortic repair (TEVAR) has evolved the management of descending thoracic aortic disease, but neurological complications—particularly spinal cord ischemia (SCI), stroke, and postoperative delirium—remain among the most feared adverse events, adversely affecting survival, quality of life, and functional independence. Objectives: The aim of this study was to provide a contemporary narrative synthesis (2000–2025) of the incidence, mechanisms, risk factors, prevention, and management of neurological complications after TEVAR, emphasizing how current evidence supports individualized and risk-adapted strategies for prevention and management. Methods: A narrative, non-systematic search (PubMed/MEDLINE, Scopus, Cochrane Library; 2000–2025) was conducted using terms related to TEVAR, SCI, cerebrovascular events, delirium, and cognitive dysfunction. Priority was given to large registries, cohort studies, and systematic reviews in adult TEVAR populations. Results: Perioperative stroke occurs in ~2–6% of TEVAR cases, with higher rates in arch/zone 0–2 procedures and when the left subclavian artery (LSA) is covered without revascularization. SCI incidence ranges from ~2–9%, influenced by aortic extent and urgency; Vascular Quality Initiative data report SCI in 3.7% of procedures, with markedly reduced 1-year survival. Major SCI risk factors include extensive thoracic coverage, prior aortic repair, vertebral or hypogastric occlusion, emergency presentation, low perioperative mean arterial pressure, anemia, and chronic kidney disease. Postoperative delirium occurs in ~13% of TEVAR-treated type B dissections and correlates with longer hospitalization and early complications. Emerging nomograms for SCI and delirium enable individualized risk stratification. Conclusions: Neurological complications after TEVAR remain clinically significant. Contemporary evidence supports personalized prevention—selective cerebrospinal fluid (CSF) drainage, LSA revascularization, staging, neuromonitoring, and tailored hemodynamic targets—guided by anatomical complexity, comorbidities, collateral network integrity, and prior aortic history. Further research should refine prediction tools, standardize definitions, and evaluate individualized neuroprotective bundles. Full article
(This article belongs to the Special Issue Complications in Vascular Surgery: Current Updates and Perspectives)
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14 pages, 298 KB  
Article
The Role of Chronic Endometritis in Endometriosis: A Personalized Diagnostic Tool?
by María Luna Arana, Augusto Pereira Sánchez, Gema Vaquero Argüello, Eva Tejerina González, Milagros Alonso-Iniesta and Tirso Pérez Medina
J. Pers. Med. 2026, 16(2), 73; https://doi.org/10.3390/jpm16020073 - 31 Jan 2026
Cited by 3 | Viewed by 2331
Abstract
(1) Background: Endometriosis and chronic endometritis (CE) are pathologies that are positively correlated and have similar paracrine and immunological alterations. This leads us to wonder whether their interrelationship plays a role in the etiopathogenesis or progression of endometriosis. The purpose of this [...] Read more.
(1) Background: Endometriosis and chronic endometritis (CE) are pathologies that are positively correlated and have similar paracrine and immunological alterations. This leads us to wonder whether their interrelationship plays a role in the etiopathogenesis or progression of endometriosis. The purpose of this study is to evaluate whether patients with endometriosis and CE have a more advanced stage of the disease, higher rates of pain, a poorer response to treatment, and a greater association with other pathologies compared to women with endometriosis without CE. (2) Methods: This is a cross-sectional pilot design study of 37 women with endometriosis who underwent endometrial aspiration for the diagnosis of CE and were followed up at the Puerta de Hierro Hospital. (3) Results: All patients with CE in this study had adenomyosis (p = 0.004). There was a relatively homogeneous distribution of CE in the different endometriosis phenotypes. The group of patients with endometriosis and CE indicated higher rates of pain during ovulation and less pain during defecation and sexual intercourse. (4) Conclusions: A high prevalence of CE was observed in patients with endometriosis, as well as a trend suggesting a relationship between CE and adenomyosis that should be studied. The following article attempts to reflect a link found between endometriosis and chronic endometritis, which would be important when prescribing personalized medicine, as it forces us to look for a specific disease in a specific patient profile. Full article
(This article belongs to the Special Issue Personalized Medicine in Endometriosis)
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27 pages, 6214 KB  
Review
Gastric-Type Cervical Adenocarcinoma: Clinicopathologic Features, Molecular Landscape, and Therapeutic Challenges
by Hiroshi Yoshida, Daiki Higuchi, Waku Takigawa, Nao Kikkawa, Taro Yamanaka, Ayaka Nagao, Mayumi Kobayashi-Kato, Masaya Uno, Mitsuya Ishikawa and Kouya Shiraishi
J. Pers. Med. 2026, 16(2), 72; https://doi.org/10.3390/jpm16020072 - 31 Jan 2026
Cited by 2 | Viewed by 5260
Abstract
Endocervical adenocarcinoma is now classified within an etiologic framework based on the presence or absence of high-risk human papillomavirus (HPV) infection. Gastric-type endocervical adenocarcinoma (GAS) is the prototypical HPV-independent subtype, accounting for up to 25% of endocervical adenocarcinomas and showing a particularly high [...] Read more.
Endocervical adenocarcinoma is now classified within an etiologic framework based on the presence or absence of high-risk human papillomavirus (HPV) infection. Gastric-type endocervical adenocarcinoma (GAS) is the prototypical HPV-independent subtype, accounting for up to 25% of endocervical adenocarcinomas and showing a particularly high frequency in East Asia. GAS is typically diagnosed at a more advanced stage than usual-type HPV-associated endocervical adenocarcinoma (UEA); exhibits deep stromal and parametrial invasion, lymphovascular space invasion, and a strong propensity for ovarian and peritoneal metastasis; and is associated with markedly worse survival, even in stage I disease. Radiological evaluation is challenging because of diffuse infiltrative growth, prominent mucin production, and frequent underestimation of extra-cervical spread. Histologically, GAS shows gastric-type (pyloric) differentiation, ranging from minimal deviation adenocarcinoma to poorly differentiated forms, and often overlaps with precursor lesions such as atypical lobular endocervical glandular hyperplasia and gastric-type adenocarcinoma in situ. Immunophenotypically, GAS is typically p16-negative, ER/PR-negative, and frequently exhibits mutant-type p53 and expression of gastric markers including MUC6, HIK1083, and claudin 18.2. Recent next-generation sequencing and multi-omics studies have revealed recurrent alterations in TP53, CDKN2A, STK11, KRAS, ARID1A, KMT2D, and homologous recombination-related genes, together with the activation of PI3K/AKT, WNT/β-catenin, TGF-β, and EMT pathways and characteristic metabolic reprogramming. GAS is highly resistant to conventional chemotherapy and radiotherapy, and its current management follows guidelines for squamous and usual-type adenocarcinoma. Emerging data support precision-medicine approaches targeting HER2/HER3, PD-1/PD-L1, and claudin 18.2, and suggest a role for PARP inhibition and other genotype-directed therapies in selected subsets. Given its aggressive biology and rising relative incidence in the HPV-vaccination era, GAS represents a critical unmet need in gynecologic oncology. Future progress hinges on developing reliable diagnostic biomarkers, refining imaging protocols, and validating targeted therapies through international clinical trials. Full article
(This article belongs to the Special Issue Molecular Pathology in Cancer Research)
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20 pages, 942 KB  
Review
Artificial Intelligence in Minimally Invasive and Robotic Gastrointestinal Surgery: Major Applications and Recent Advances
by Matteo Pescio, Francesco Marzola, Giovanni Distefano, Pietro Leoncini, Carlo Alberto Ammirati, Federica Barontini, Giulio Dagnino and Alberto Arezzo
J. Pers. Med. 2026, 16(2), 71; https://doi.org/10.3390/jpm16020071 - 31 Jan 2026
Cited by 5 | Viewed by 3225
Abstract
Artificial intelligence (AI) is rapidly reshaping gastrointestinal (GI) surgery by enhancing decision-making, intraoperative performance, and postoperative management. The integration of AI-driven systems is enabling more precise, data-informed, and personalized surgical interventions. This review provides a state-of-the-art overview of AI applications in GI surgery, [...] Read more.
Artificial intelligence (AI) is rapidly reshaping gastrointestinal (GI) surgery by enhancing decision-making, intraoperative performance, and postoperative management. The integration of AI-driven systems is enabling more precise, data-informed, and personalized surgical interventions. This review provides a state-of-the-art overview of AI applications in GI surgery, organized into four key domains: surgical simulation, surgical computer vision, surgical data science, and surgical robot autonomy. A comprehensive narrative review of the literature was conducted, identifying relevant studies of technological developments in this field. In the domain of surgical simulation, AI enables virtual surgical planning and patient-specific digital twins for training and preoperative strategy. Surgical computer vision leverages AI to improve intraoperative scene understanding, anatomical segmentation, and workflow recognition. Surgical data science translates multimodal surgical data into predictive analytics and real-time decision support, enhancing safety and efficiency. Finally, surgical robot autonomy explores the progressive integration of AI for intelligent assistance and autonomous functions to augment human performance in minimally invasive and robotic procedures. Surgical AI has demonstrated significant potential across different domains, fostering precision, reproducibility, and personalization in GI surgery. Nevertheless, challenges remain in data quality, model generalizability, ethical governance, and clinical validation. Continued interdisciplinary collaboration will be crucial to translating AI from promising prototypes to routine, safe, and equitable surgical practice. Full article
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32 pages, 27435 KB  
Review
Artificial Intelligence in Adult Cardiovascular Medicine and Surgery: Real-World Deployments and Outcomes
by Dimitrios E. Magouliotis, Noah Sicouri, Laura Ramlawi, Massimo Baudo, Vasiliki Androutsopoulou and Serge Sicouri
J. Pers. Med. 2026, 16(2), 69; https://doi.org/10.3390/jpm16020069 - 30 Jan 2026
Cited by 6 | Viewed by 3695
Abstract
Artificial intelligence (AI) is rapidly reshaping adult cardiac surgery, enabling more accurate diagnostics, personalized risk assessment, advanced surgical planning, and proactive postoperative care. Preoperatively, deep-learning interpretation of ECGs, automated CT/MRI segmentation, and video-based echocardiography improve early disease detection and refine risk stratification beyond [...] Read more.
Artificial intelligence (AI) is rapidly reshaping adult cardiac surgery, enabling more accurate diagnostics, personalized risk assessment, advanced surgical planning, and proactive postoperative care. Preoperatively, deep-learning interpretation of ECGs, automated CT/MRI segmentation, and video-based echocardiography improve early disease detection and refine risk stratification beyond conventional tools such as EuroSCORE II and the STS calculator. AI-driven 3D reconstruction, virtual simulation, and augmented-reality platforms enhance planning for structural heart and aortic procedures by optimizing device selection and anticipating complications. Intraoperatively, AI augments robotic precision, stabilizes instrument motion, identifies anatomy through computer vision, and predicts hemodynamic instability via real-time waveform analytics. Integration of the Hypotension Prediction Index into perioperative pathways has already demonstrated reductions in ventilation duration and improved hemodynamic control. Postoperatively, machine-learning early-warning systems and physiologic waveform models predict acute kidney injury, low-cardiac-output syndrome, respiratory failure, and sepsis hours before clinical deterioration, while emerging closed-loop control and remote monitoring tools extend individualized management into the recovery phase. Despite these advances, current evidence is limited by retrospective study designs, heterogeneous datasets, variable transparency, and regulatory and workflow barriers. Nonetheless, rapid progress in multimodal foundation models, digital twins, hybrid OR ecosystems, and semi-autonomous robotics signals a transition toward increasingly precise, predictive, and personalized cardiac surgical care. With rigorous validation and thoughtful implementation, AI has the potential to substantially improve safety, decision-making, and outcomes across the entire cardiac surgical continuum. Full article
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10 pages, 650 KB  
Article
Sex-Specific Differences in Patients with Hypertrophic Cardiomyopathy: A Cohort Study from Vienna
by Christopher Mann, Rodi Tosun, Shehroz Masood, Theresa M. Dachs, Franz Duca, Christina Binder-Rodriguez, Christian Hengstenberg, Marianne Gwechenberger, Thomas A. Zelniker and Daniel Dalos
J. Pers. Med. 2026, 16(1), 56; https://doi.org/10.3390/jpm16010056 - 21 Jan 2026
Cited by 2 | Viewed by 1118
Abstract
Background: Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiovascular disease and affects male patients more often than women. Prior studies, however, suggested that women are diagnosed later and at advanced stages of the disease, present with more pronounced symptoms, and experience [...] Read more.
Background: Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiovascular disease and affects male patients more often than women. Prior studies, however, suggested that women are diagnosed later and at advanced stages of the disease, present with more pronounced symptoms, and experience worse outcomes. Objectives: To investigate sex-specific differences in clinical, laboratory, and comprehensive imaging characteristics in a contemporary cohort of HCM patients from a tertiary referral center in Austria. Methods: We retrospectively analyzed 321 HCM patients enrolled in a prospective registry (2018–2024). All patients underwent a comprehensive baseline evaluation, including medical history, laboratory assessment, transthoracic echocardiography, and cardiac magnetic resonance imaging. Results: At diagnosis, women were significantly older (62 vs. 53 years, p < 0.001) and presented with more advanced functional class (NYHA ≥ II: 80% vs. 49%, p < 0.001). Six-minute walking distance was lower and obstructive HCM was more prevalent in women (425 vs. 505 m, p < 0.001, and 55% vs. 32%, p < 0.001, respectively). Echocardiographic assessment revealed higher diastolic filling pressures (E/E′ 18 vs. 10, p < 0.001), larger indexed atrial volumes (29.5 vs. 26.6 mL/m2, p < 0.001), a higher left ventricular ejection fraction (70% vs. 62%, p < 0.001), and a larger indexed interventricular septal thickness in women (10.2 vs. 9.3 mm/m2, p = 0.004). Moreover, serum levels of NT-proBNP were significantly higher in women (760 vs. 338 pg/L, p < 0.001). Conclusions: Female patients with HCM were diagnosed at an older age, presented with more advanced symptoms, had higher rates of obstructive physiology, and a phenotype characterized by diastolic dysfunction and elevated biomarkers, closely resembling heart failure with preserved ejection fraction. Recognizing these sex-specific disparities is crucial in improving diagnostic awareness and individualized therapeutic management. Full article
(This article belongs to the Section Personalized Medical Care)
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28 pages, 3242 KB  
Review
Comprehensive Landscape of Diagnostic, Prognostic and Predictive Biomarkers in Colorectal Cancer: From Genomics to Multi-Omics Integration in Precision Medicine
by Alfonso Agüera-Sánchez, Emilio Peña-Ros, Irene Martínez-Martínez and Francisco García-Molina
J. Pers. Med. 2026, 16(1), 48; https://doi.org/10.3390/jpm16010048 - 12 Jan 2026
Cited by 6 | Viewed by 3240
Abstract
Colorectal cancer (CRC) remains one of the leading causes of cancer-related morbidity and mortality worldwide. Despite advances in screening and therapeutic strategies, early detection and individualized treatment remain major challenges. In recent years, an expanding repertoire of biomarkers has emerged, spanning genomic, transcriptomic, [...] Read more.
Colorectal cancer (CRC) remains one of the leading causes of cancer-related morbidity and mortality worldwide. Despite advances in screening and therapeutic strategies, early detection and individualized treatment remain major challenges. In recent years, an expanding repertoire of biomarkers has emerged, spanning genomic, transcriptomic, proteomic, and metabolomic signatures. Epigenetic features, such as DNA methylation panels, as well as non-coding RNAs and the gut microbiome, hold potential not only for improving early diagnosis but also for refining prognosis and predicting therapeutic responses within the framework of precision oncology. This narrative review provides an updated, integrative overview of CRC diagnostic, prognostic, and predictive biomarkers. We distinguish established markers already in clinical practice, such as RAS and BRAF mutations, HER2 amplification, microsatellite instability/mismatch repair deficiency (MSI/dMMR), and widely investigated molecular alterations including TP53 mutations and immune-checkpoint-related markers, from novel biomarkers with growing translational potential. We also discuss the implementation challenges of these biomarkers in clinical practice, including issues related to validation, standardization, and cost-effectiveness, as well as the multi-modal approach for the development of composite diagnostic panels. Full article
(This article belongs to the Special Issue Advances in Colorectal Cancer: Diagnosis and Personalized Treatment)
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13 pages, 1172 KB  
Review
Hypoglycaemia and Cardiac Arrhythmias in Type 1 Diabetes Mellitus: A Mechanistic Review
by Kyriaki Mavromoustakou, Christos Fragoulis, Kyriaki Cholidou, Zoi Sotiropoulou, Nektarios Anagnostopoulos, Ioannis Gastouniotis, Stavroula-Panagiota Lontou, Kyriakos Dimitriadis, Anastasia Thanopoulou, Christina Chrysohoou and Konstantinos Tsioufis
J. Pers. Med. 2026, 16(1), 45; https://doi.org/10.3390/jpm16010045 - 9 Jan 2026
Cited by 3 | Viewed by 2729
Abstract
Hypoglycaemia in patients with type 1 diabetes mellitus (T1DM) remains a major clinical burden and, beyond its metabolic complications, can cause serious cardiac arrhythmias. Multiple mechanisms lead to different types of arrhythmias during hypoglycaemia. However, existing studies often involve mixed diabetes populations, small [...] Read more.
Hypoglycaemia in patients with type 1 diabetes mellitus (T1DM) remains a major clinical burden and, beyond its metabolic complications, can cause serious cardiac arrhythmias. Multiple mechanisms lead to different types of arrhythmias during hypoglycaemia. However, existing studies often involve mixed diabetes populations, small cohorts, or limited monitoring during nocturnal periods, leaving a critical gap in understanding the links between glucose fluctuations and arrhythmic events. This review provides an updated combination of experimental and clinical evidence describing how autonomic dysfunction and ionic imbalances lead to electrophysiological instability and structural remodelling of the myocardium during hypoglycaemia. Continuous glucose monitoring (CGM) combined with electrocardiographic or wearable rhythm tracking may enable early detection of glycemic and cardiac disturbances and help identify high-risk individuals. Future prospective studies using combined CGM–ECG monitoring, particularly during sleep, are essential to clarify the relationship between hypoglycaemia and arrhythmic events. Full article
(This article belongs to the Special Issue Diabetes and Its Complications: From Research to Clinical Practice)
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25 pages, 450 KB  
Review
Artificial Intelligence- and Machine Learning-Assisted Subphenotyping for Personalized Immunotherapy in Sepsis
by Evdoxia Kyriazopoulou, Eleni Karakike and Pavlos Myrianthefs
J. Pers. Med. 2026, 16(1), 28; https://doi.org/10.3390/jpm16010028 - 5 Jan 2026
Cited by 6 | Viewed by 2524
Abstract
Background/Objectives: Sepsis heterogeneity limits advances in immunotherapy. Increasing use of artificial intelligence (AI) and machine learning (ML) attempts to turn multi-dimensional data into meaningful clusters, indicating biological mechanisms. We provide an overview of the existing evidence on AI-derived sepsis subtyping, exploring treatment [...] Read more.
Background/Objectives: Sepsis heterogeneity limits advances in immunotherapy. Increasing use of artificial intelligence (AI) and machine learning (ML) attempts to turn multi-dimensional data into meaningful clusters, indicating biological mechanisms. We provide an overview of the existing evidence on AI-derived sepsis subtyping, exploring treatment response to available immune modulating therapies. Methods: On 1 October 2025, we conducted a structured search on all relative publications on MEDLINE and undertook a narrative review. Results: Multiple subphenotyping algorithms were identified, using clinical, biological, and omics data, across different cohorts, mainly through secondary analyses of randomized trials. The main classification was between hyper- and hypoinflammatory subphenotypes. Statins, corticosteroids, activated protein C, or thrombomodulin displayed differential effects on the outcome of these subphenotypes. Conclusions: Further research is required to prospectively validate findings and to offer pragmatic solutions to patients who need them the most. Issues of validity, equity, ethics, and feasibility are discussed. Full article
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22 pages, 1102 KB  
Review
Emerging Molecular and Computational Biomarkers in Urothelial Carcinoma: Innovations in Diagnosis, Prognosis, and Therapeutic Response Prediction
by Fernando Alberca-del Arco, Rocío Santos-Perez de la Blanca, Elisa Maria Matas-Rico, Bernardo Herrera-Imbroda and Félix Guerrero-Ramos
J. Pers. Med. 2026, 16(1), 25; https://doi.org/10.3390/jpm16010025 - 5 Jan 2026
Cited by 5 | Viewed by 3339
Abstract
Bladder cancer (BC) represents a major global health issue with high recurrence and significant mortality rates in cases of advanced disease. Currently, the development of molecular profiling, liquid biopsy technologies, and artificial intelligence (AI) software has resulted in unprecedented opportunities to improve diagnosis, [...] Read more.
Bladder cancer (BC) represents a major global health issue with high recurrence and significant mortality rates in cases of advanced disease. Currently, the development of molecular profiling, liquid biopsy technologies, and artificial intelligence (AI) software has resulted in unprecedented opportunities to improve diagnosis, prognostic assessment, and treatment selection. Recent multicenter studies have identified emerging metabolomic, proteomic, and genomic biomarkers with high sensitivity and specificity that may help replace or complement invasive approaches. AI-driven models that combine multi-omics datasets with radiomics and clinical parameters have demonstrated improved accuracy for predicting both therapeutic response and long-term outcomes, compared to standard approaches for risk stratification. Additionally, the incremental clinical usefulness of liquid biopsy platforms has been demonstrated for the monitoring of non-muscle-invasive bladder cancer and minimal disease detection. As these innovations converge, they herald the advent of a new era of personalized management of urothelial carcinoma; however, broad-based clinical implementation will require large-scale validation, standardization, regulatory harmonization, and economic analyses. Background: Bladder cancer continues to be a global health problem, particularly in the advanced disease setting where treatment options are limited, and mortality remains high. The exciting advances in precision medicine, including breakthrough molecular profiling techniques, liquid biopsy, and opportunities to apply AI to interpret these molecular data, hold unprecedented promise in improving the accuracy of diagnosis, prognostic stratification, and therapeutic decision-making. Full article
(This article belongs to the Special Issue Novel Diagnostic and Therapeutic Approaches to Urologic Oncology)
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20 pages, 899 KB  
Review
Connecting the Airways: Current Trends in United Airway Diseases
by Benedetta Bondi, Martina Buscema, Federico Di Marco, Carlo Conti, Andrea Caviglia, Lorenzo Fucci, Anna Maria Riccio, Marcello Mincarini, Martina Ottoni, Fulvio Braido, Rikki Frank Canevari and Diego Bagnasco
J. Pers. Med. 2026, 16(1), 21; https://doi.org/10.3390/jpm16010021 - 4 Jan 2026
Cited by 7 | Viewed by 4206
Abstract
The concept of united airway disease (UAD) highlights the bidirectional relationship between inflammatory disorders of the upper airways—such as allergic rhinitis and chronic rhinosinusitis with or without nasal polyps (CRSwNP/CRSsNP)—and lower airway diseases, most notably asthma. This paradigm is supported by epidemiological, embryological, [...] Read more.
The concept of united airway disease (UAD) highlights the bidirectional relationship between inflammatory disorders of the upper airways—such as allergic rhinitis and chronic rhinosinusitis with or without nasal polyps (CRSwNP/CRSsNP)—and lower airway diseases, most notably asthma. This paradigm is supported by epidemiological, embryological, and immunological evidence demonstrating that airway inflammation represents a single, interconnected process rather than isolated compartmental pathology. Central to many UAD phenotypes is type 2 (T2) inflammation, driven by cytokines including IL-4, IL-5, and IL-13, and mediated by effector cells such as eosinophils and group 2 innate lymphoid cells (ILC2s). Epithelial barrier dysfunction often serves as the initiating trigger for this shared inflammatory cascade by production of TSLP, IL-25 and IL-33. Optimal diagnosis and management of UAD require an integrated, multidisciplinary framework. Clinical evaluation remains essential for patient characterization but must be complemented by pheno-endotypic assessment using imaging (CT), allergy testing, biomarker profiling (FeNO, blood eosinophils, IgE), and pulmonary function testing (spirometry, impulse oscillometry). Therapeutic strategies are layered, targeting both symptom control and inflammation across airway compartments. Standard approaches include intranasal and inhaled corticosteroids as well as saline irrigations, while severe T2-high disease increasingly benefits from biologic therapies (anti-IL-5/IL-5R, anti-IL-4R, anti-TSLP), which reduce dependence on systemic corticosteroids and surgical interventions such as endoscopic sinus surgery (ESS). Emerging precision-medicine models, particularly the “treatable traits” approach, further underscore the need to view the airway as a unified system. Collectively, these insights reinforce the clinical imperative of addressing upper and lower airway disease as a continuum, ensuring that inflammation in one district is neither overlooked nor treated in isolation. Full article
(This article belongs to the Special Issue United Airway Disease: Current Perspectives)
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19 pages, 1320 KB  
Review
Growth Differentiation Factor-15 as an Emerging Biomarker in Cardiology: Diagnostic and Prognostic Implications
by Carla Lombardi, Martina Marandola, Valentina Loria, Andrea Urbani and Silvia Baroni
J. Pers. Med. 2026, 16(1), 16; https://doi.org/10.3390/jpm16010016 - 2 Jan 2026
Cited by 7 | Viewed by 3087
Abstract
Growth Differentiation Factor-15 (GDF-15) is a stress-responsive cytokine belonging to the Transforming Growth Factor-beta (TGF-β) superfamily. Initially identified as macrophage inhibitory cytokine-1 (MIC-1), GDF-15 is expressed in various tissues and markedly upregulated under pathological conditions involving inflammation, oxidative stress, and tissue injury. Notably, [...] Read more.
Growth Differentiation Factor-15 (GDF-15) is a stress-responsive cytokine belonging to the Transforming Growth Factor-beta (TGF-β) superfamily. Initially identified as macrophage inhibitory cytokine-1 (MIC-1), GDF-15 is expressed in various tissues and markedly upregulated under pathological conditions involving inflammation, oxidative stress, and tissue injury. Notably, GDF-15 upregulation has been associated with several cardiovascular events, such as heart failure, atrial fibrillation, atherosclerosis, coronary artery disease, and stroke. Furthermore, it has been observed that GDF-15, either alone or in combination with other cardiac biomarkers, can provide valuable complementary information enhancing risk assessment, early detection of cardiovascular events, and prediction of adverse outcomes. GDF-15 can be measured in various body fluids, using different methods. Immunoassays are widely employed and offer good sensitivity and reproducibility; however, variability between methods and potential interference from genetic variants highlight the need for standardization. This review summarizes current insights into GDF-15, with emphasis on its quantification methods, biological functions in cardiovascular diseases, and its emerging role as a diagnostic and prognostic biomarker. Full article
(This article belongs to the Special Issue Review Special Issue: Recent Advances in Personalized Medicine)
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13 pages, 829 KB  
Review
Biopsy-Driven Synovial Pathophenotyping in RA: A New Approach to Personalized Treatment
by Sheyda Ketabchi, Edda Russo, Maurizio Benucci, Maria Infantino, Mariangela Manfredi, Emanuele Antonio Maria Cassarà, Francesca Li Gobbi, Alessandro Mannoni and Riccardo Terenzi
J. Pers. Med. 2025, 15(12), 622; https://doi.org/10.3390/jpm15120622 - 11 Dec 2025
Cited by 8 | Viewed by 2071
Abstract
The diagnosis and treatment of rheumatoid arthritis (RA) have been constantly evolving for decades, pointing towards early diagnostic and therapeutic interventions. Synovial biopsy has emerged as a pivotal tool in precision medicine, transitioning from a research procedure to a clinically feasible approach. Modern [...] Read more.
The diagnosis and treatment of rheumatoid arthritis (RA) have been constantly evolving for decades, pointing towards early diagnostic and therapeutic interventions. Synovial biopsy has emerged as a pivotal tool in precision medicine, transitioning from a research procedure to a clinically feasible approach. Modern ultrasound-guided techniques allow safe, reproducible access to inflamed joints, enabling direct analysis of the synovial tissue, which reveals biological heterogeneity undetectable in peripheral blood. Histological scoring, including the Krenn synovitis score, discriminates inflammatory from non-inflammatory pathology, supporting targeted escalation of immunosuppressive therapy. Molecular and histological profiling has defined distinct synovial pathotypes—lympho-myeloid, diffuse-myeloid, and fibroid/pauci-immune—with reproducible associations to therapeutic responsiveness. Moreover, biopsy-driven trials, such as R4RA and STRAP, demonstrate that pathotype-guided strategies can predict outcomes: diffuse-myeloid synovitis responds to IL-6 receptor blockade, lympho-myeloid synovitis to B cell depletion, and fibroid synovitis exhibits multidrug resistance. In difficult-to-treat RA, synovial biopsy differentiates inflammatory from non-inflammatory drivers of persistent symptoms, providing a rational basis for therapy selection. Ongoing biomarker-driven initiatives, including PRECISion and 3TR Precis-The-RA, aim to embed biopsy findings into clinical decision-making. In this review, it is underscored that the integration of histology, molecular profiling, and clinical context positions synovial biopsy as a patient-centered precision approach, guiding individualized therapy and bridging RA stratification with clinical practice. Full article
(This article belongs to the Section Personalized Therapy in Clinical Medicine)
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34 pages, 921 KB  
Systematic Review
Artificial Intelligence in Gastrointestinal Surgery: A Systematic Review of Its Role in Laparoscopic and Robotic Surgery
by Ludovica Gorini, Roberto de la Plaza Llamas, Daniel Alejandro Díaz Candelas, Rodrigo Arellano González, Wenzhong Sun, Jaime García Friginal, María Fra López and Ignacio Antonio Gemio del Rey
J. Pers. Med. 2025, 15(11), 562; https://doi.org/10.3390/jpm15110562 - 19 Nov 2025
Cited by 6 | Viewed by 3429
Abstract
Background: Artificial intelligence (AI) is transforming surgical practice by enhancing training, intraoperative guidance, decision-making, and postoperative assessment. However, its specific role in laparoscopic and robotic general surgery remains to be clearly defined. The objective is to systematically review the current applications of [...] Read more.
Background: Artificial intelligence (AI) is transforming surgical practice by enhancing training, intraoperative guidance, decision-making, and postoperative assessment. However, its specific role in laparoscopic and robotic general surgery remains to be clearly defined. The objective is to systematically review the current applications of AI in laparoscopic and robotic general surgery and categorize them by function and surgical context. Methods: A systematic search of PubMed and Web of Science was conducted up to 22 June 2025, using predefined search terms. Eligible studies focused on AI applications in laparoscopic or robotic general surgery, excluding urological, gynecological, and obstetric fields. Original articles in English or Spanish were included. Data extraction was performed independently by two reviewers and synthesized descriptively by thematic categories. Results: A total of 152 original studies were included. Most were conducted in laparoscopic settings (n = 125), while 19 focused on robotic surgery and 8 involved both. The majority were technical evaluations or retrospective observational studies. Seven thematic categories were identified: surgical decision support and outcome prediction; skill assessment and training; workflow recognition and intraoperative guidance; object or structure detection; augmented reality and navigation; image enhancement; technical assistance; and surgeon perception and preparedness. Most studies applied deep learning, for classification, prediction, recognition, and real-time guidance in laparoscopic cholecystectomies, colorectal and gastric surgeries. Conclusions: AI has been widely adopted in various domains of laparoscopic and robotic general surgery. While most studies remain in early developmental stages, the evidence suggests increasing maturity and integration into clinical workflows. Standardization of evaluation and reporting frameworks will be essential to translate these innovations into widespread practice. Full article
(This article belongs to the Special Issue Update on Robotic Gastrointestinal Surgery, 2nd Edition)
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15 pages, 659 KB  
Review
The Gut Microbiome in Early-Onset Colorectal Cancer: Distinct Signatures, Targeted Prevention and Therapeutic Strategies
by Sara Lauricella, Francesco Brucchi, Roberto Cirocchi, Diletta Cassini and Marco Vitellaro
J. Pers. Med. 2025, 15(11), 552; https://doi.org/10.3390/jpm15110552 - 12 Nov 2025
Cited by 11 | Viewed by 3426
Abstract
Background/Objectives: The incidence of early-onset colorectal cancer (EOCRC) is rising worldwide, although its biological and clinical features remain incompletely understood. Emerging evidence implicates gut microbial dysbiosis as a key driver of EOCRC pathogenesis, acting through complex interactions with host genetics, mucosal immunity, and [...] Read more.
Background/Objectives: The incidence of early-onset colorectal cancer (EOCRC) is rising worldwide, although its biological and clinical features remain incompletely understood. Emerging evidence implicates gut microbial dysbiosis as a key driver of EOCRC pathogenesis, acting through complex interactions with host genetics, mucosal immunity, and early-life exposures. This review synthesizes current evidence on EOCRC-specific microbial signatures, delineates host–microbiome interactions, and evaluates how these insights may inform precision prevention, early detection, and therapeutic strategies. Methods: A systematic literature search was conducted in PubMed, Scopus, and Web of Science up to August 2025, using combinations of “early-onset colorectal cancer,” “gut microbiome,” “dysbiosis,” and “host–microbiome interactions.” Both clinical and preclinical studies were included. Extracted data encompassed microbial composition, mechanistic insights, host-related factors, and microbiome-targeted interventions. Evidence was synthesized narratively to highlight consistent patterns, methodological limitations, and translational implications. Results: EOCRC is consistently associated with enrichment of pro-inflammatory and genotoxic taxa (e.g., Fusobacterium nucleatum, colibactin-producing Escherichia coli, enterotoxigenic Bacteroides fragilis) and depletion of short-chain fatty acid–producing commensals. Multi-omics analyses reveal distinct host–microbiome signatures influenced by germline predisposition, mucosal immunity, sex, and early-life exposures. However, substantial methodological heterogeneity persists. Collectively, these data point to candidate microbial biomarkers for early detection and support the rationale for microbiome-targeted preventive and adjunctive therapeutic approaches. Conclusions: EOCRC harbors unique microbial and host–environmental features that distinguish it from late-onset disease. Integrating host determinants with microbiome signatures provides a framework for precision prevention and tailored therapeutic strategies. Future priorities include harmonizing methodologies, validating microbial biomarkers in asymptomatic young adults, and rigorously testing microbiome-targeted interventions in clinical trials. Full article
(This article belongs to the Special Issue Personalized Medicine for Gastrointestinal Diseases)
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19 pages, 1537 KB  
Review
Comparative Insights into Cutaneous, Mucosal, and Vulvovaginal Melanomas: Biology, Targeted Therapies, and Survival with a Focus on Immune Checkpoint Inhibitors
by Danielle Christmas, Christina Pappa, Catherine Howell, Mohammad Daas, Keith Howell, Sunanda Dhar, Binamra Sigdel, Sanjiv Manek and Moiad Alazzam
J. Pers. Med. 2025, 15(11), 551; https://doi.org/10.3390/jpm15110551 - 12 Nov 2025
Cited by 8 | Viewed by 1413
Abstract
Background/Objectives: Melanoma is a malignant tumour of melanocytes. Cutaneous melanoma accounts for the vast majority of cases and has benefitted from advances in targeted and immune checkpoint inhibitor therapies, leading to substantial improvements in survival. In contrast, mucosal and vulvovaginal melanomas are [...] Read more.
Background/Objectives: Melanoma is a malignant tumour of melanocytes. Cutaneous melanoma accounts for the vast majority of cases and has benefitted from advances in targeted and immune checkpoint inhibitor therapies, leading to substantial improvements in survival. In contrast, mucosal and vulvovaginal melanomas are rare, aggressive subtypes with distinct molecular and immune profiles and poor prognoses. This review synthesises evidence comparing cutaneous, mucosal, and vulvovaginal melanoma, with emphasis on biology, treatment, and outcomes Methods: A narrative comparative review was undertaken, examining the published literature on the epidemiology, molecular and immune characteristics, and treatment outcomes of cutaneous, mucosal, and vulvovaginal melanoma, including systemic therapies and surgical approaches. Results: Cutaneous melanoma demonstrates high tumour mutational burden and frequent BRAF and NRAS mutations, underpinning the success of targeted therapy and immunotherapy. Mucosal and vulvovaginal melanomas exhibit lower mutational burden, distinct mutation patterns, and reduced immunogenicity, correlating with poorer treatment responses. Surgery remains the mainstay of management, though optimal margins in vulvovaginal melanoma are unclear. Recurrence rates are high, and five-year survival remains poor. Evidence for systemic therapy is limited to small retrospective cohorts and subgroup analyses, showing lower response and survival rates compared with cutaneous melanoma. Chemotherapy has minimal benefit. Conclusions: Mucosal and vulvovaginal melanomas are biologically and clinically distinct from cutaneous melanoma and continue to have poor survival outcomes. Their rarity restricts high-quality evidence, highlighting the need for collaborative, innovative research to inform effective treatment strategies. Full article
(This article belongs to the Special Issue Clinical Updates and Challenges of Gynecological Cancers)
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26 pages, 1952 KB  
Review
Beyond Standard Parameters: Precision Hemodynamic Monitoring in Patients on Veno-Arterial ECMO
by Debora Emanuela Torre and Carmelo Pirri
J. Pers. Med. 2025, 15(11), 541; https://doi.org/10.3390/jpm15110541 - 7 Nov 2025
Cited by 9 | Viewed by 3654
Abstract
Background: Hemodynamic management in veno-arterial extracorporeal membrane oxygenation (V-A ECMO) is inherently complex, as extracorporeal circulation profoundly alters preload, afterload, ventriculo-arterial coupling and tissue perfusion. This review summarizes current and emerging monitoring strategies to guide initiation, maintenance and weaning. Methods: A [...] Read more.
Background: Hemodynamic management in veno-arterial extracorporeal membrane oxygenation (V-A ECMO) is inherently complex, as extracorporeal circulation profoundly alters preload, afterload, ventriculo-arterial coupling and tissue perfusion. This review summarizes current and emerging monitoring strategies to guide initiation, maintenance and weaning. Methods: A structured literature search was performed in PubMed and Scopus (1990–2025), including clinical studies, consensus statement and expert reviews addressing hemodynamic monitoring in V-A ECMO. Results: A multiparametric framework is required. Echocardiography remains central for assessing biventricular performance, aortic valve dynamics and ventricular unloading. Pulmonary artery catheterization provides complementary data on filling pressures, cardiac output and global oxygen balance. Metabolic indices such as lactate clearance and veno-arterial CO2 gap, together with regional oximetry (NIRS), inform the adequacy of systemic and tissue perfusion. Microcirculatory monitoring, though technically demanding, has shown prognostic value, particularly during weaning. Additional adjuncts include arterial pulse pressure, end-tidal CO2 and waveform analysis. Phenotype oriented priorities, such as detection of differential hypoxemia, prevention of left ventricular distension or surveillance for limb ischemia, require tailored monitoring strategies. Artificial intelligence and machine learning represent future avenues for integrating multiparametric data into predictive models. Conclusions: No single modality can capture the hemodynamic complexity of V-A ECMO. Precision monitoring demands a dynamic, phenotype-specific and time-dependent approach that integrates systemic, cardiac, metabolic and microcirculatory variables. Such individualized strategies hold promise to optimize outcomes, reduce complications and align V-A ECMO management with the principles of precision medicine. Full article
(This article belongs to the Special Issue Emergency and Critical Care in the Context of Personalized Medicine)
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25 pages, 1785 KB  
Review
Primary Tricuspid Regurgitation: From Neglect to Clinical Relevance
by Mariagrazia Piscione, Jad Mroue, Dario Gaudio, Vivek Mehta and Fadi Matar
J. Pers. Med. 2025, 15(11), 535; https://doi.org/10.3390/jpm15110535 - 3 Nov 2025
Cited by 5 | Viewed by 2597
Abstract
Primary tricuspid regurgitation (TR) is an underrecognized valve disease characterized by structural abnormalities of the tricuspid valve (TV) apparatus, including leaflet prolapse, flail, rheumatic degeneration, carcinoid involvement and congenital malformations such as Ebstein’s anomaly. Historically neglected and often misclassified as functional, primary TR [...] Read more.
Primary tricuspid regurgitation (TR) is an underrecognized valve disease characterized by structural abnormalities of the tricuspid valve (TV) apparatus, including leaflet prolapse, flail, rheumatic degeneration, carcinoid involvement and congenital malformations such as Ebstein’s anomaly. Historically neglected and often misclassified as functional, primary TR has recently gained attention due to advances in multimodality imaging and increased awareness of its pathophysiological complexity and adverse outcomes. A major challenge that remains is the accurate diagnosis of primary TR, as well as the optimal timing for intervention, particularly in asymptomatic patients. While surgical repair or replacement has been the traditional approach, recent developments in transcatheter therapies, such as tricuspid edge-to-edge repair, have broadened the therapeutic landscape for patients considered at high surgical risk. In this context, personalized medicine has emerged as a central paradigm in the management of this valvular disease. Tailored therapeutic decisions should include anatomical, functional, and clinical parameters, as well as patient-specific risk factors such as age and comorbidities. Advanced imaging modalities, including 3D echocardiography and cardiac magnetic resonance, are essential for guiding this individualized approach. This review summarizes the current understanding of the etiology, pathophysiology, diagnostic tools, and treatment strategies for primary TR, highlighting the critical role of personalized treatment pathways in optimizing clinical outcomes. Full article
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21 pages, 346 KB  
Review
Chrononutrition in Gestational Diabetes: Toward Precision Timing in Maternal Care
by Viktoria Xega and Jun-Li Liu
J. Pers. Med. 2025, 15(11), 534; https://doi.org/10.3390/jpm15110534 - 3 Nov 2025
Cited by 6 | Viewed by 3418
Abstract
Gestational diabetes mellitus (GDM) is a heterogeneous disorder that compromises maternal and offspring health. Conventional medical nutrition therapy focuses on nutrient composition and caloric targets but largely omits timing and individualized biology. This narrative review synthesizes mechanistic, epidemiologic and interventional evidence linking circadian [...] Read more.
Gestational diabetes mellitus (GDM) is a heterogeneous disorder that compromises maternal and offspring health. Conventional medical nutrition therapy focuses on nutrient composition and caloric targets but largely omits timing and individualized biology. This narrative review synthesizes mechanistic, epidemiologic and interventional evidence linking circadian biology and meal timing (chrononutrition) to maternal glycemic control. Observational cohorts associate late eating and breakfast skipping with worse glycemia, while pilot interventions and CGM-based studies indicate that front-loading carbohydrates, restricting evening carbohydrate, extending overnight fasting (≈10–12 h), and simple within-meal sequencing can reduce postprandial excursions and increase time-in-range. We propose a pragmatic, tiered clinical pathway in which routine second-trimester triage (50 g glucose challenge test and ultrasound abdominal subcutaneous fat thickness) identifies higher-risk women for short-term CGM phenotyping and prioritized chrononutrition counseling. Integrating phenotype-matched timing interventions with dietetic support and digital decision tools allows rapid, individualized adjustments informed by real-time glucose patterns and patient chronotype. In principle, this tiered strategy could improve daily glycemic profiles, reduce the need for pharmacotherapy, and translate into better neonatal outcomes if supported by larger randomized trials. Chrononutrition therefore offers a promising extension of standard care: simple, low-cost adjustments to “when” food is eaten, supported by digital tools, could allow nutrition therapy for GDM to become more precise, more responsive, and ultimately more effective for both mother and child. Key priorities include validating bedside and chrono-omic stratifiers, testing scalable delivery platforms, and ensuring equitable access to personalized chrononutrition in pregnancy. Full article
(This article belongs to the Special Issue Personalized Medicine of Obesity and Metabolic Disorders)
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18 pages, 2601 KB  
Review
Artificial Intelligence in Cardiac Electrophysiology: A Comprehensive Review
by Pietro Cipollone, Nicola Pierucci, Andrea Matteucci, Marta Palombi, Domenico Laviola, Raffaele Bruti, Sara Vinciullo, Marco Bernardi, Luigi Spadafora, Angelica Cersosimo, Sara Trivigno, Tommaso Recchioni, Agostino Piro, Cristina Chimenti, Claudio Pandozi, Carmine Dario Vizza, Carlo Lavalle and Marco Valerio Mariani
J. Pers. Med. 2025, 15(11), 532; https://doi.org/10.3390/jpm15110532 - 3 Nov 2025
Cited by 21 | Viewed by 3258
Abstract
Background: Artificial Intelligence (AI) is a transformative innovation designed to enable machines to perform tasks typically requiring human intelligence. Among various medical fields, cardiology—and particularly electrophysiology—has seen rapid integration of AI technologies. The ability of AI to analyze large and complex datasets is [...] Read more.
Background: Artificial Intelligence (AI) is a transformative innovation designed to enable machines to perform tasks typically requiring human intelligence. Among various medical fields, cardiology—and particularly electrophysiology—has seen rapid integration of AI technologies. The ability of AI to analyze large and complex datasets is reshaping diagnostic and therapeutic approaches. Objectives: This review aims to provide a comprehensive overview of AI models and their applications in cardiac electrophysiology. The focus is on understanding how AI contributes to clinical practice through ECG interpretation, arrhythmia detection, atrial mapping, and catheter ablation, while also exploring its limitations and future potential. Methods: The review discusses various AI approaches, including Machine Learning (ML) and Deep Learning (DL), and highlights relevant literature illustrating their implementation in electrophysiological settings. Key clinical applications are examined thematically, with a narrative synthesis of current capabilities, technologies, and outcomes. Results: AI-based tools have demonstrated effectiveness in identifying supraventricular arrhythmias like atrial fibrillation (AF) and atrial flutter (AFL), as well as complex conditions such as ventricular tachycardias (VTs) and long QT syndrome (LQTS). In procedural contexts, AI enhances electro-anatomical mapping, reduces operative time, and supports tailored post-ablation management. Discussion: While AI offers clear advantages in diagnostic accuracy and procedural efficiency, challenges remain regarding data security, ethical transparency, and clinical adoption. Addressing these limitations will be crucial for integrating AI into routine electrophysiology and maximizing its potential in future cardiology practice. Full article
(This article belongs to the Special Issue Atrial Fibrillation: Toward Personalized Medicine)
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41 pages, 7020 KB  
Review
Recent Insights into Organoid-Derived Extracellular Vesicles and Their Biomedical Applications
by Ahmed Abdal Dayem, Yeonjoo Kwak, Hyemin Jeun and Ssang-Goo Cho
J. Pers. Med. 2025, 15(10), 492; https://doi.org/10.3390/jpm15100492 - 14 Oct 2025
Cited by 8 | Viewed by 4259
Abstract
Extracellular vesicles (EVs) play a crucial role in cell-to-cell communication by transporting functionally active molecules, including proteins, lipids, and nucleic acids. While extensive research has focused on EVs generated from traditional two-dimensional (2D) monolayer cultures (2D-EVs), the emergence of three-dimensional (3D) organoid systems [...] Read more.
Extracellular vesicles (EVs) play a crucial role in cell-to-cell communication by transporting functionally active molecules, including proteins, lipids, and nucleic acids. While extensive research has focused on EVs generated from traditional two-dimensional (2D) monolayer cultures (2D-EVs), the emergence of three-dimensional (3D) organoid systems has led to the development of organoid-derived EVs (OEVs), which more closely mimic the physiological conditions of native tissues. In contrast to 2D cultures, 3D systems offer improved EV yield and cargo specificity, enhancing their translational potential. This review discusses the distinctive features of OEVs, including their enhanced tissue relevance, diverse molecular composition, and promising therapeutic applications in areas like disease modeling, regenerative therapies, and targeted drug delivery. We also present an overview of the current organoid-based platforms used to produce OEVs, recent innovations in EV modification and bioengineering, and the practical barriers to their clinical adoption. By comparing the strengths and limitations of OEVs with those of 2D-EVs, we provide a comprehensive perspective on their future role in precision healthcare, biomarker identification, and advanced therapeutic strategies. Full article
(This article belongs to the Section Disease Biomarkers)
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20 pages, 6167 KB  
Article
ICU Readmission and In-Hospital Mortality Rates for Patients Discharged from the ICU—Risk Factors and Validation of a New Predictive Model: The Worse Outcome Score (WOScore)
by Eleftherios Papadakis, Athanasia Proklou, Sofia Kokkini, Ioanna Papakitsou, Ioannis Konstantinou, Aggeliki Konstantinidi, Georgios Prinianakis, Stergios Intzes, Marianthi Symeonidou and Eumorfia Kondili
J. Pers. Med. 2025, 15(10), 479; https://doi.org/10.3390/jpm15100479 - 3 Oct 2025
Cited by 5 | Viewed by 3658
Abstract
Background: Intensive Care Unit (ICU) readmission and in-hospital mortality are critical indicators of patient outcomes following ICU discharge. Patients readmitted to the ICU often face worse prognosis, higher healthcare costs, and prolonged hospital stays. Identifying high-risk patients is essential for optimizing post-ICU [...] Read more.
Background: Intensive Care Unit (ICU) readmission and in-hospital mortality are critical indicators of patient outcomes following ICU discharge. Patients readmitted to the ICU often face worse prognosis, higher healthcare costs, and prolonged hospital stays. Identifying high-risk patients is essential for optimizing post-ICU care and resource allocation. Methods: This two-phase study included the following: (1) a retrospective analysis of ICU survivors in a mixed medical–surgical ICU to identify risk factors associated with ICU readmission and in-hospital mortality, and (2) a prospective validation of a newly developed predictive model: the Worse Outcome Score (WOScore). Data collected included demographics, ICU admission characteristics, severity scores (SAPS II, SAPS III, APACHE II, SOFA), interventions, complications and discharge parameters. Results: Among 1.190 ICU survivors, 126 (10.6%) were readmitted to the ICU, and 192 (16.1%) died in hospital after ICU discharge. Key risk factors for ICU readmission included Diabetes Mellitus, SAPS III on admission, and ICU-acquired infections (Ventilator-Associated Pneumonia (VAP) and Catheter-Related Bloodstream Infection, (CRBSI)). Predictors of in-hospital mortality were identified: medical admission, high SAPS III score, high lactate level on ICU admission, tracheostomy, reduced GCS at discharge, blood transfusion, CRBSI, and Acute Kidney Injury (AKI) during ICU stay. The WOScore, developed based on the results above, demonstrated strong predictive ability (AUC: 0.845 derivation, 0.886 validation). A cut-off of 20 distinguished high-risk patients (sensitivity: 88.1%, specificity: 73.0%). Conclusions: ICU readmission and in-hospital mortality are influenced by patient severity, underlying comorbidities, and ICU-related complications. The WOScore provides an effective, easy-to-use risk stratification tool that can guide clinicians in identifying high-risk patients at ICU discharge and guide post-ICU interventions, potentially improving patients’ outcomes and optimizing resource allocation. Further multi-center studies are necessary to validate the model in diverse healthcare settings. Full article
(This article belongs to the Section Personalized Medical Care)
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35 pages, 448 KB  
Review
Approaches for Predicting the Occurrence of Challenging Behaviors in Individuals with Autism Spectrum Disorder: A Narrative Review
by Jennifer Ferina, Emma Dando, Conor Anderson, Jenny Foster, Johanna Lantz, Theresa Hamlin and Juergen Hahn
J. Pers. Med. 2025, 15(10), 453; https://doi.org/10.3390/jpm15100453 - 29 Sep 2025
Cited by 3 | Viewed by 4493
Abstract
The presentation of autism spectrum disorder can be highly heterogeneous, and a significant percentage of individuals with autism exhibit challenging behaviors. However, the frequency and severity of challenging behaviors can vary significantly over time, even for the same person, and it is often [...] Read more.
The presentation of autism spectrum disorder can be highly heterogeneous, and a significant percentage of individuals with autism exhibit challenging behaviors. However, the frequency and severity of challenging behaviors can vary significantly over time, even for the same person, and it is often unclear what triggers a behavior. Being able to predict the occurrence of challenging behaviors has significant potential for improving the safety of individuals with ASD, as well as quality of life for them and their caregivers. Given the large heterogeneity found in the presentation of autism, most predictions need to be personalized to the individual or at least a subgroup of individuals. This work reviews the state of research in the field for predicting behaviors, ranging from short-term predictions just a few moments before a behavior occurs to predicting the probability of challenging behaviors a day in advance. Several reviewed approaches provide promising initial results, but few studies have been conducted on populations large and diverse enough to determine their generalizability. Full article
(This article belongs to the Section Personalized Medical Care)
35 pages, 1744 KB  
Review
Personalizing Cochlear Implant Care in Single-Sided Deafness: A Distinct Paradigm from Bilateral Hearing Loss
by Emmeline Y. Lin, Stephanie M. Younan, Karen C. Barrett and Nicole T. Jiam
J. Pers. Med. 2025, 15(9), 439; https://doi.org/10.3390/jpm15090439 - 15 Sep 2025
Cited by 10 | Viewed by 5575
Abstract
Background: Cochlear implants (CIs) serve diverse populations with hearing loss, but patients with single-sided deafness (SSD) often show lower post-implantation usage and satisfaction than bilateral CI users. This disparity may stem from their normal contralateral ear providing sufficient auditory input for many daily [...] Read more.
Background: Cochlear implants (CIs) serve diverse populations with hearing loss, but patients with single-sided deafness (SSD) often show lower post-implantation usage and satisfaction than bilateral CI users. This disparity may stem from their normal contralateral ear providing sufficient auditory input for many daily situations, reducing the perceived need for consistent CI use. Consequently, uniform screening and evaluations, typically designed for bilateral hearing loss, often fail to address SSD’s unique needs. Methods: This narrative review synthesizes the current literature to explore patient and device factors shaping CI integration, outcomes, and experience in SSD. It highlights implications for developing personalized care strategies distinct from those used in bilateral hearing loss. Results: SSD patients face unique challenges: reliance on compensatory behaviors and significant auditory processing difficulties like acoustic–electric mismatch and place–pitch discrepancy. Anatomical factors and deafness of duration also impact outcomes. Traditional measures are often insufficient due to ceiling effects. Music perception offers a sensitive metric and rehabilitation tool, while big data and machine learning show promise for predicting outcomes and tailoring interventions. Conclusions: Optimizing CI care for SSD necessitates a personalized approach across candidacy, counseling, and rehabilitation. Tailored strategies, including individualized frequency mapping, adaptive auditory training, advanced outcome metrics like music perception, and leveraging big data for precise, data-driven predictions, are crucial for improving consistent CI usage and overall patient satisfaction. Full article
(This article belongs to the Special Issue Otolaryngology: Big Data Application in Personalized Medicine)
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15 pages, 2619 KB  
Systematic Review
Patient-Reported Outcomes of Digital Versus Conventional Impressions for Implant-Supported Fixed Dental Prostheses: A Systematic Review and Meta-Analysis
by Aspasia Pachiou, Evangelia Zervou, Nikitas Sykaras, Dimitrios Tortopidis, Alexis Ioannidis, Ronald E. Jung, Franz J. Strauss and Stefanos Kourtis
J. Pers. Med. 2025, 15(9), 427; https://doi.org/10.3390/jpm15090427 - 5 Sep 2025
Cited by 14 | Viewed by 3717
Abstract
Background/Objectives: To compare patient-reported outcome measures (PROMs) between digital and conventional impression techniques for implant-supported fixed dental prostheses (iFDPs). Methods: A systematic literature search was conducted in PubMed, Embase, Scopus, and the Cochrane Library databases up to June 2025, following PRISMA guidelines. Human [...] Read more.
Background/Objectives: To compare patient-reported outcome measures (PROMs) between digital and conventional impression techniques for implant-supported fixed dental prostheses (iFDPs). Methods: A systematic literature search was conducted in PubMed, Embase, Scopus, and the Cochrane Library databases up to June 2025, following PRISMA guidelines. Human clinical studies reporting PROMs between digital and conventional impression techniques for iFDPs were included. Studies using structured, but not necessarily validated, questionnaires were eligible. Two reviewers independently performed study selection, data extraction, and risk of bias assessment. Where possible, meta-analyses were conducted using a random-effects model to pool comparable outcomes across studies using mean differences (MD) or standardized mean differences (SMD) with 95% confidence intervals (CIs). Results: Out of 1784 records screened, eighteen studies were included. Most studies showed that digital impressions were associated with higher patient satisfaction, compared to conventional impressions. Ten studies contributed data to at least one outcome; pooled analyses included the following: overall satisfaction (k = 5), comfort (k = 7), gagging/nausea (k = 5), esthetic satisfaction (k = 2), unpleasant taste (k = 5), anxiety (k = 5), discomfort (k = 2), pain (k = 5), and overall discomfort (k = 5). Digital impressions were significantly favored (p < 0.05) for anxiety (MD = 13.3, 95% CI: −22 to −4.5), nausea (MD = −26.4, 95% CI −46.8 to −6.0), bad taste (MD = −34.8, 95% CI −58.3 to −11.3), discomfort (SMD = −2.24, 95% CI −3.51 to −0.98), comfort (SMD = 1.77, 95% CI: 0.60 to 2.94), perceived procedure time (SMD = 0.96; 95% CI 0.29 to 1.62), and overall satisfaction (SMD = 0.55; 95% CI 0.01 to 1.09). No statistically significant differences were found for pain or esthetic evaluation. Substantial between-study heterogeneity was observed among the included studies. Conclusions: Current evidence indicates that digital impression workflows enhance the overall patient experience for implant-supported fixed restorations, especially in domains linked to comfort and procedural efficiency. These findings support PROM-informed personalization of impression workflows: screening for gagging, anxiety, or intolerance to impression materials could guide patient-tailored use of intraoral scanning while acknowledging no consistent advantage for pain or esthetic perception. Full article
(This article belongs to the Special Issue Advances in Oral Health: Innovative and Personalized Approaches)
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20 pages, 944 KB  
Review
Long-Term Prognosis, Risk Assessment, and Management of Patients Diagnosed with Takotsubo Syndrome: A Narrative Review
by Małgorzata Kosek-Nikołajczuk, Ewa Borowiak, Radoslaw Piatkowski, Marcin Grabowski and Monika Budnik
J. Pers. Med. 2025, 15(9), 425; https://doi.org/10.3390/jpm15090425 - 4 Sep 2025
Cited by 5 | Viewed by 6112
Abstract
Takotsubo syndrome (TTS) is a condition marked by sudden and temporary dysfunction of the left ventricle, occurring without significant coronary artery disease. It was previously thought to be a benign and self-limiting condition, associated with a favorable long-term prognosis and minimal impact on [...] Read more.
Takotsubo syndrome (TTS) is a condition marked by sudden and temporary dysfunction of the left ventricle, occurring without significant coronary artery disease. It was previously thought to be a benign and self-limiting condition, associated with a favorable long-term prognosis and minimal impact on survival. However, the most recent findings provide evidence that TTS is a heterogeneous condition with various presentation patterns. Using the most recent evidence regarding long-term prognosis in TTS, this review article aims to provide an overview of the long-term survival of patients with TTS, highlighting potential risk factors and comorbidities that may worsen prognosis. It also explores the risk of recurrence and the utility of advanced imaging modalities for prognosis assessment. Risk factors negatively impacting long-term outcomes include male sex, older age, reduced left ventricular ejection fraction (LVEF), physical triggers (especially pulmonary and neurological diseases), and comorbidities such as atrial fibrillation, chronic obstructive pulmonary disease, and active cancer. Recurrence, though relatively uncommon, can affect up to 11% of patients, with “super recurrence” linked to higher peak troponin levels, lower LVEF, and emotional triggers. Advanced imaging modalities—such as coronary angiography and ventriculography, which are considered the gold standard, along with serial echocardiographic assessment—combined with cardiac biomarkers, including relatively low peak troponin levels and markedly elevated N-terminal pro-B-type natriuretic peptide (NT-proBNP), as well as diagnostic ratios like copeptin/NT-proBNP, provide a robust framework for differentiating TTS from acute coronary syndromes. Key findings suggest that chronic therapeutic strategies in the long-term management of TTS patients should focus on improving long-term outcomes and reducing the risk of mortality and TTS recurrence. Methods: A comprehensive review was conducted using PubMed (U.S. National Library of Medicine and National Institutes of Health) and Google Scholar to identify relevant English-language publications addressing the long-term prognosis, biomarkers, imaging, risk of recurrence, and long-term management of TTS. Full article
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14 pages, 3046 KB  
Review
The State of the Art in the Treatment of Actinic Keratosis and Field Cancerization: A Narrative Review
by Andrea Paradisi, Enrico Bocchino, Maria Mannino, Giulio Gualdi, Alessandra D’Amore, Daniele Omar Traini and Ketty Peris
J. Pers. Med. 2025, 15(9), 421; https://doi.org/10.3390/jpm15090421 - 3 Sep 2025
Cited by 7 | Viewed by 5760
Abstract
Actinic keratosis (AK) is considered the early phase of a squamous cell carcinoma (SCC) and represents one of the most common epithelial skin lesions, with an estimated global prevalence of approximately 14%. An estimated annual risk of progression has been reported with a [...] Read more.
Actinic keratosis (AK) is considered the early phase of a squamous cell carcinoma (SCC) and represents one of the most common epithelial skin lesions, with an estimated global prevalence of approximately 14%. An estimated annual risk of progression has been reported with a range from 0 to 0.53%. Although spontaneous regression of individual AK lesions has been described in approximately 23% of cases, the frequent presence of multiple lesions, usually in the broader context of field cancerization, significantly diminishes the likelihood of regression and contributes to a higher cumulative risk of progression to SCC. The aim of the present narrative review was to provide an overview of the current evidence of the most effective available lesion-directed and field-directed treatments for actinic keratoses, on the personalized, combined, or sequential approach, as well as on the emerging therapeutic options. Full article
(This article belongs to the Special Issue Dermatology: Diagnosis and Personalized Treatment)
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20 pages, 623 KB  
Review
The Role of Orbital Atherectomy for Complex Coronary Calcium Modification: Has It Been Eclipsed?
by Natasha Khullar, Trisha Singh, Peter O’Kane and Jonathan Hinton
J. Pers. Med. 2025, 15(9), 414; https://doi.org/10.3390/jpm15090414 - 2 Sep 2025
Cited by 5 | Viewed by 3159
Abstract
Severe coronary artery calcification (CAC) is a frequent finding in patients undergoing percutaneous coronary intervention (PCI) and represents a significant procedural challenge. CAC is commonly associated with ageing and comorbidities such as diabetes, hypertension, and chronic kidney disease, and contributes to vessel rigidity, [...] Read more.
Severe coronary artery calcification (CAC) is a frequent finding in patients undergoing percutaneous coronary intervention (PCI) and represents a significant procedural challenge. CAC is commonly associated with ageing and comorbidities such as diabetes, hypertension, and chronic kidney disease, and contributes to vessel rigidity, impaired device delivery, and suboptimal stent expansion. These factors increase the risk of angiographic complications, as well as major adverse cardiac events compared with non-calcified lesions, negatively impacting both immediate and long-term clinical outcomes. In cases of severe calcification, traditional balloon angioplasty is often inadequate, necessitating the use of dedicated calcium modification techniques. Devices such as rotational atherectomy (RA), orbital atherectomy (OA), excimer laser coronary atherectomy (ELCA), and intravascular lithotripsy (IVL) have been developed to address these challenges. Among these, orbital atherectomy offers a potential unique dual mechanism of action and has shown promise in enhancing lesion preparation and facilitating optimal stent deployment. This review provides an overview of the role of orbital atherectomy in the management of calcified coronary lesions, evaluates current evidence on its safety and efficacy, and discusses how it may be positioned in the future, underscoring the need for a personalised, lesion-specific approach to optimise PCI outcomes. Full article
(This article belongs to the Special Issue Interventional Cardiology: Latest Technology, Progress and Challenge)
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16 pages, 1822 KB  
Systematic Review
Female Sexual Function After Radical Treatment for MIBC: A Systematic Review
by Francesco Pio Bizzarri, Marco Campetella, Salvatore Marco Recupero, Fabrizio Bellavia, Lorenzo D’Amico, Francesco Rossi, Filippo Gavi, Giovanni Battista Filomena, Pierluigi Russo, Giuseppe Palermo, Nazario Foschi, Angelo Totaro, Mauro Ragonese, Maria Chiara Sighinolfi, Marco Racioppi, Emilio Sacco and Bernardo Rocco
J. Pers. Med. 2025, 15(9), 415; https://doi.org/10.3390/jpm15090415 - 2 Sep 2025
Cited by 6 | Viewed by 1585
Abstract
Background: Sexuality in women with muscle-invasive bladder cancer (MIBC) undergoing radical treatment represents a crucial aspect of their overall quality of life, which is increasingly recognized as a key component of patient-centered care and long-term well-being. This review aimed to analyze the available [...] Read more.
Background: Sexuality in women with muscle-invasive bladder cancer (MIBC) undergoing radical treatment represents a crucial aspect of their overall quality of life, which is increasingly recognized as a key component of patient-centered care and long-term well-being. This review aimed to analyze the available literature to provide a comprehensive overview of the effects of treatments on female sexual function. Methods: We included all qualitative and quantitative studies addressing sexual function in patients treated for MIBC. Excluded were narrative reviews, case reports, conference abstracts, systematic reviews, and meta-analyses. The included studies involved women undergoing either robot-assisted radical cystectomy (RARC) or open RC (ORC), often with nerve-sparing, vaginal-sparing, or pelvic organ-preserving techniques. Data on oncological and functional outcomes were collected. Results: A systematic review of 29 studies including 1755 women was conducted. RC was performed via robotic/laparoscopic approaches in 39% of cases and open techniques in 61%. Urinary diversions included orthotopic neobladders (48%), ileal conduits (42%), ureterocutaneostomies (3%), and Indiana pouches (7%). Radiotherapy, used in 6% of patients, was mainly applied in a curative, trimodal setting. Sexual function was evaluated using various pre- and/or postoperative questionnaires, most commonly the EORTC QLQ-C22, FACT-BL, Bladder Cancer Index (BCI), LENT SOMA, and Female Sexual Function Index (FSFI). Radiotherapy was associated with reduced sexual function, though outcomes were somewhat better than with surgery. Among surgical approaches, no differences in sexual outcomes were observed. Conclusions: Further qualitative research is essential to better understand the experience of FSD after treatment. Incorporating both patient and clinician perspectives will be key to developing tailored interventions. In addition, efforts should be made to standardize the questionnaires used to assess female sexual dysfunction, in order to improve comparability across studies and ensure consistent evaluation. Full article
(This article belongs to the Special Issue Urological Cancer: Clinical Advances in Personalized Therapy)
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20 pages, 357 KB  
Review
Current Approaches to the Management of Rheumatic Diseases in Pregnancy: Risk Stratification, Therapeutic Advances, and Maternal–Fetal Outcomes
by Aikaterini-Gavriela Giannakaki, Maria-Nektaria Giannakaki, Anastasia Bothou, Konstantinos Nikolettos, Nikolaos Machairiotis, Kalliopi I. Pappa and Panagiotis Tsikouras
J. Pers. Med. 2025, 15(9), 406; https://doi.org/10.3390/jpm15090406 - 1 Sep 2025
Cited by 6 | Viewed by 3240
Abstract
Background: Autoimmune rheumatic diseases, including systemic lupus erythematosus (SLE), antiphospholipid syndrome (APS), Sjögren’s syndrome, systemic sclerosis (SSc), and rheumatoid arthritis (RA), pose significant challenges during pregnancy and are associated with increased risks of adverse maternal and fetal outcomes, such as preeclampsia, fetal growth [...] Read more.
Background: Autoimmune rheumatic diseases, including systemic lupus erythematosus (SLE), antiphospholipid syndrome (APS), Sjögren’s syndrome, systemic sclerosis (SSc), and rheumatoid arthritis (RA), pose significant challenges during pregnancy and are associated with increased risks of adverse maternal and fetal outcomes, such as preeclampsia, fetal growth restriction (FGR), miscarriage, and preterm birth. The aim of this review is to synthesize recent evidence on pregnancy-related risks, preconception counseling, and therapeutic strategies for these conditions, with a particular focus on the importance of disease remission, pregnancy-compatible medications, and the selective use of biologics. Methods: A structured narrative review was conducted through a comprehensive PubMed search (2020–2025). Eligible studies addressed maternal–fetal outcomes, therapeutic approaches, and predictive factors in pregnant individuals with autoimmune rheumatic diseases. Results: Pregnancy outcomes have improved with early disease control and multidisciplinary care; however, major challenges persist. These include limited access to novel therapies, underrepresentation of diverse populations in clinical trials, and insufficient data on long-term neonatal outcomes. The strongest predictors of adverse outcomes remain disease activity at conception, specific autoantibody profiles, and systemic organ involvement. Conclusions: Optimal pregnancy outcomes for women with autoimmune rheumatic diseases require coordinated multidisciplinary care, the use of pregnancy-compatible medications, and achievement of prolonged disease remission prior to conception. Further research is needed to close existing knowledge gaps and ensure equitable, high-quality maternal–fetal care. Full article
(This article belongs to the Special Issue Personalized Medicine for Rheumatic Diseases)
17 pages, 308 KB  
Review
What Are the Game Changers in Total Knee Arthroplasty? A Narrative Review
by Andrea Baldini, Damiano Ardiri, Lorenzo Benvenuti, Mattia Chirico, Enrico Fiorilli, Alessandro Singlitico and Filippo Leggieri
J. Pers. Med. 2025, 15(8), 389; https://doi.org/10.3390/jpm15080389 - 20 Aug 2025
Cited by 6 | Viewed by 2419
Abstract
Background: Total knee arthroplasty (TKA) has evolved significantly, yet achieving consistently optimal outcomes remains challenging across diverse patient populations. This comprehensive narrative review identifies evidence-based “game changers” that genuinely transform TKA success while distinguishing them from interventions lacking clinical superiority. The analysis [...] Read more.
Background: Total knee arthroplasty (TKA) has evolved significantly, yet achieving consistently optimal outcomes remains challenging across diverse patient populations. This comprehensive narrative review identifies evidence-based “game changers” that genuinely transform TKA success while distinguishing them from interventions lacking clinical superiority. The analysis organizes findings across three perioperative phases: preoperative optimization, intraoperative techniques, and postoperative management. Preoperative game changers include end-stage bone-on-bone osteoarthritis, preoperative medical optimization of patients performed by dedicated practitioners, cryocompression therapy, and perioperative dexamethasone administration. Intraoperative interventions demonstrating substantial impact encompass reduced surgical time and optimized surgical instrumentation, personalized alignment, medial congruent bearings, cementless implants for high-demanding and high-BMI patients, and perioperative tranexamic acid. Postoperative game changers include early mobilization following surgery, venous thrombo-embolic prophylaxis avoiding high-bleeding-risk pharmaceuticals, and multimodal pain management. The review also identifies those initial promises without established clinical advantages, or “fake game changers”, that consume resources without meaningful benefits. This evidence synthesis demonstrates that TKA optimization requires systematic implementation of validated interventions rather than pursuing technological innovations indiscriminately. The future of TKA lies in evidence-based adoption of proven strategies that translate to genuine patient outcome improvements rather than merely increasing procedural complexity. Full article
(This article belongs to the Special Issue Cutting-Edge Innovations in Hip and Knee Joint Replacement)
15 pages, 563 KB  
Review
The Role of Oxidative Stress in the Relationship Between Periodontitis and Alzheimer’s Disease: A Review of the Literature
by Konstantinos Antonios Papadakis, Aikaterini-El Doufexi, Mary S. Kalamaki, Evangelos Bourazanas and Evgenia Lymperaki
J. Pers. Med. 2025, 15(8), 384; https://doi.org/10.3390/jpm15080384 - 18 Aug 2025
Cited by 16 | Viewed by 3171
Abstract
Periodontitis, a chronic inflammatory disease affecting the supporting tissues of the teeth, has been linked to the onset of neurological diseases, including Alzheimer’s disease (AD). A primary mechanism connecting these two issues is oxidative stress caused by an imbalance between antioxidant defenses and [...] Read more.
Periodontitis, a chronic inflammatory disease affecting the supporting tissues of the teeth, has been linked to the onset of neurological diseases, including Alzheimer’s disease (AD). A primary mechanism connecting these two issues is oxidative stress caused by an imbalance between antioxidant defenses and reactive oxygen species (ROS) synthesis. This review compiles results from both animal and human studies that explore how oxidative stress resulting from periodontitis leads to neuroinflammation, mitochondrial dysfunction, and cognitive decline in AD. Studies in animals indicate that periodontal infections worsen brain oxidative damage, as evidenced by elevated lipid peroxidation markers, such as malondialdehyde (MDA), and indicators of oxidative DNA damage, including 8-hydroxy-2′-deoxyguanosine (8-OHdG). Additionally, significant reductions in crucial antioxidant enzymes, including superoxide dismutase (SOD) and glutathione peroxidase, along with neuroinflammation and cognitive deficits, are observed in mouse models of induced periodontitis. Supporting evidence from human studies reveals lower total antioxidant capacity (TAC) in individuals with both Alzheimer’s disease (AD) and periodontitis, as well as increased systemic oxidative stress markers, such as advanced oxidation protein products (AOPRs). These findings suggest a mechanistic relationship through oxidative stress pathways between periodontal inflammation and neurodegeneration. Given the extensive impact of periodontitis, enhancing periodontal health could be a viable strategy to reduce oxidative damage and lower the risk of cognitive decline. Further research is needed to clarify causality and to investigate antioxidant treatments aimed at preventing or slowing the progression of AD in patients with periodontal disease. Full article
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12 pages, 7710 KB  
Article
Efficacy and Safety of Personalized Percutaneous Single-Probe Cryoablation Using Liquid Nitrogen in the Treatment of Abdominal Wall Endometriosis
by Ghizlane Touimi Benjelloun, Malek Mokbli, Tarek Kammoun, Sinda Ghabri, Skander Sammoud, Wissem Nabi, Vincent Letouzey, Jean-Paul Beregi and Julien Frandon
J. Pers. Med. 2025, 15(8), 373; https://doi.org/10.3390/jpm15080373 - 13 Aug 2025
Cited by 1 | Viewed by 2423
Abstract
Background: Abdominal wall endometriosis (AWE) is a rare but debilitating condition, often occurring in surgical scars after Caesarean sections. It is characterized by cyclic pain and a palpable mass, significantly impacting patients’ quality of life. Traditional treatments, including hormonal therapy and surgery, [...] Read more.
Background: Abdominal wall endometriosis (AWE) is a rare but debilitating condition, often occurring in surgical scars after Caesarean sections. It is characterized by cyclic pain and a palpable mass, significantly impacting patients’ quality of life. Traditional treatments, including hormonal therapy and surgery, have limitations, prompting interest in minimally invasive techniques such as cryoablation. This study evaluates the efficacy and safety of percutaneous image-guided single-probe cryoablation using liquid nitrogen for symptomatic AWE. Purpose: To evaluate the effectiveness and safety of percutaneous image-guided single-probe cryoablation using liquid nitrogen in treating symptomatic AWE lesions, with a primary objective to assess pain relief using the Visual Analog Scale (VAS). Materials and Methods: This retrospective, single-center study included 14 patients (23 lesions) treated with percutaneous cryoablation between September 2022 and April 2025. Clinical, imaging (MRI and ultrasound), and procedural data were analyzed. Pain scores (VAS scale) were assessed before treatment and at 3-month follow-up. Hydro- and/or carbo-dissection were used to protect adjacent structures. Response to treatment was evaluated with MRI and clinical follow-up. Statistical analysis was performed using median, range, and percentage calculations, with comparisons made using the Mann–Whitney test. Results: A total of 23 AWE lesions were treated in 14 patients (mean age: 39.6 years). The median lesion volume was 3546 mm3, with a range from 331 mm3 (8 × 4.6 × 9 mm) to 45,448 mm3 (46 × 26 × 38 mm). Most of the lesions were located in the muscle (69.6%, n = 16), while 17.4% (n = 4) involved both muscle and subcutaneous tissue, and 13.0% (n = 3) were purely subcutaneous. Among the 23 treated lesions, 8.7% (n = 2) appeared as purely hemorrhagic, 13.0% (n = 3) as fibrotic, and 78.3% (n = 18) were classified as mixed, based on imaging characteristics. Procedures were performed under general anesthesia in 65% of cases and under sedation in 35%. Hydrodissection was used in 48% of lesions, carbo-dissection in 4%, and combined hydro–carbo-dissection in 26%. A single 13G cryoprobe was used in 83% of cases, and a 10G probe in 17%. The median ablation time was 15 min (range: 6–28 min), and the median total procedure time was 93 min (range: 22–240 min). Pain scores significantly decreased from a median of 8/10 (range: 6–10) before treatment to 0/10 (range: 0–2) at follow-up (p < 0.0001). MRI follow-up confirmed complete coverage of the ablation zone and disappearance of hemorrhagic inclusions in all cases. Two patients (14%) required re-treatment, both with satisfactory outcomes. No peri- or post-procedural complications were observed, and no visible scars were noted. Conclusions: Percutaneous cryoablation using a single probe with liquid nitrogen is a safe and effective treatment for AWE, offering significant pain relief, minimal morbidity, and excellent cosmetic outcomes. It should be considered as part of multidisciplinary care. Further prospective studies with longer follow-up are warranted to confirm these findings. Full article
(This article belongs to the Special Issue Interventional Radiology: Towards Personalized Medicine)
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24 pages, 2270 KB  
Review
Established and Emerging Asthma Biomarkers with a Focus on Biologic Trials: A Narrative Review
by Philip F. Lavere, Kaitlin M. Phillips, Nicola A. Hanania and Muhammad Adrish
J. Pers. Med. 2025, 15(8), 370; https://doi.org/10.3390/jpm15080370 - 13 Aug 2025
Cited by 12 | Viewed by 9136
Abstract
Chronic airway inflammation with variable airflow obstruction is clinical asthma, and it arises from distinct molecular and pathological mechanisms called endotypes. Biomarkers allow for precise endotype characterization and have been used in clinical trials to design, monitor, and evaluate outcomes for asthma biologic [...] Read more.
Chronic airway inflammation with variable airflow obstruction is clinical asthma, and it arises from distinct molecular and pathological mechanisms called endotypes. Biomarkers allow for precise endotype characterization and have been used in clinical trials to design, monitor, and evaluate outcomes for asthma biologic therapies. This review will highlight the central and evolving role of biomarkers for past, present, and future asthma, with a focus on regulatory-approved biologic therapies and emerging biomarkers. Established biomarkers, including serum immunoglobulin E (IgE), blood eosinophils, the fraction of exhaled nitric oxide (FeNO), and serum periostin, helped elucidate the complex pathophysiology of the eosinophilic type 2 (T2) asthma endotype. Emerging biomarkers, or older biomarkers with emerging utility, include sputum inflammatory cells (eosinophils, neutrophils, interleukins), thymus and activation-regulated chemokine (TARC), plasma eotaxin-3, eosinophil peroxidase (EPX), Clara/club cell secretory protein (CC16), and quantitative computerized tomography (QCT) imaging biomarkers (evaluating mucus plugging, air trapping, airway wall thickness, small airway remolding) and are increasingly used in clinical trials as secondary endpoints in evaluating efficacy, as well as in the clinical setting at specialized centers. The rapid advances in asthma research, due in part to biomarkers and biologic therapies, may soon standardize an end goal: symptom-free asthma remission without exacerbations. Full article
(This article belongs to the Special Issue Novel Therapeutic Approaches to Asthma in Clinical Medicine)
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29 pages, 799 KB  
Review
The Evolving Landscape of Novel and Old Biomarkers in Localized High-Risk Prostate Cancer: State of the Art, Clinical Utility, and Limitations Toward Precision Oncology
by Lilia Bardoscia, Angela Sardaro, Mariagrazia Quattrocchi, Paola Cocuzza, Elisa Ciurlia, Ilaria Furfaro, Maria Antonietta Gilio, Marcello Mignogna, Beatrice Detti and Gianluca Ingrosso
J. Pers. Med. 2025, 15(8), 367; https://doi.org/10.3390/jpm15080367 - 11 Aug 2025
Cited by 5 | Viewed by 4000
Abstract
High-risk prostate cancer (PC) accounts for 50–75% of 10-year relapse after primary treatment. Routine clinicopathological parameters for PC patient stratification have proven insufficient to inform clinical decisions in this setting. Tumor genomic profiling allowed overcoming the limits of diagnostic accuracy in the field [...] Read more.
High-risk prostate cancer (PC) accounts for 50–75% of 10-year relapse after primary treatment. Routine clinicopathological parameters for PC patient stratification have proven insufficient to inform clinical decisions in this setting. Tumor genomic profiling allowed overcoming the limits of diagnostic accuracy in the field of PC, integrated with radiomic features, automated platforms, evaluation of patient-related factors (age, performance status, comorbidity) and tumor-related factors (risk class, volume, T stage). In this scenario, the use of biomarkers to guide decision-making in localized, high-risk PC is evolving actively and rapidly. Additional tests for prostate-specific antigen have demonstrated superior sensitivity and specificity for detecting clinically significant PC, as well as commercially available genomic classifiers improving the risk prediction of disease recurrence/progression/metastasis, in combination with common clinical variables. This narrative review aimed to summarize the state of the art on the utility and evolution of old and emerging biomarkers in the diagnosis and prognosis of localized, high-risk PC, and the potential for their application in clinical practice. We focused on the theoretical molecular foundation of prostate carcinogenesis and explored the impact of genomic profiling, next-generation sequencing, and artificial intelligence in the extrapolation of customized features able to predict disease aggressiveness and possibly drive personalized therapeutic decisions. Full article
(This article belongs to the Special Issue Urological Cancer: Clinical Advances in Personalized Therapy)
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20 pages, 1622 KB  
Review
Behavioural Cardiology: A Review on an Expanding Field of Cardiology—Holistic Approach
by Christos Fragoulis, Maria-Kalliopi Spanorriga, Irini Bega, Andreas Prentakis, Evangelia Kontogianni, Panagiotis-Anastasios Tsioufis, Myrto Palkopoulou, John Ntalakouras, Panagiotis Iliakis, Ioannis Leontsinis, Kyriakos Dimitriadis, Dimitris Polyzos, Christina Chrysochoou, Antonios Politis and Konstantinos Tsioufis
J. Pers. Med. 2025, 15(8), 355; https://doi.org/10.3390/jpm15080355 - 4 Aug 2025
Cited by 8 | Viewed by 2153
Abstract
Cardiovascular disease (CVD) remains Europe’s leading cause of mortality, responsible for >45% of deaths. Beyond established risk factors (hypertension, diabetes, dyslipidaemia, smoking, obesity), psychosocial elements—depression, anxiety, financial stress, personality traits, and trauma—significantly influence CVD development and progression. Behavioural Cardiology addresses this connection by [...] Read more.
Cardiovascular disease (CVD) remains Europe’s leading cause of mortality, responsible for >45% of deaths. Beyond established risk factors (hypertension, diabetes, dyslipidaemia, smoking, obesity), psychosocial elements—depression, anxiety, financial stress, personality traits, and trauma—significantly influence CVD development and progression. Behavioural Cardiology addresses this connection by systematically incorporating psychosocial factors into prevention and rehabilitation protocols. This review examines the HEARTBEAT model, developed by Greece’s first Behavioural Cardiology Unit, which aligns with current European guidelines. The model serves dual purposes: primary prevention (targeting at-risk individuals) and secondary prevention (treating established CVD patients). It is a personalised medicine approach that integrates psychosocial profiling with traditional risk assessment, utilising tailored evaluation tools, caregiver input, and multidisciplinary collaboration to address personality traits, emotional states, socioeconomic circumstances, and cultural contexts. The model emphasises three critical implementation aspects: (1) digital health integration, (2) cost-effectiveness analysis, and (3) healthcare system adaptability. Compared to international approaches, it highlights research gaps in psychosocial interventions and advocates for culturally sensitive adaptations, particularly in resource-limited settings. Special consideration is given to older populations requiring tailored care strategies. Ultimately, Behavioural Cardiology represents a transformative systems-based approach bridging psychology, lifestyle medicine, and cardiovascular treatment. This integration may prove pivotal for optimising chronic disease management through personalised interventions that address both biological and psychosocial determinants of cardiovascular health. Full article
(This article belongs to the Special Issue Personalized Diagnostics and Therapy for Cardiovascular Diseases)
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21 pages, 360 KB  
Review
Prognostic Models in Heart Failure: Hope or Hype?
by Spyridon Skoularigkis, Christos Kourek, Andrew Xanthopoulos, Alexandros Briasoulis, Vasiliki Androutsopoulou, Dimitrios Magouliotis, Thanos Athanasiou and John Skoularigis
J. Pers. Med. 2025, 15(8), 345; https://doi.org/10.3390/jpm15080345 - 1 Aug 2025
Cited by 11 | Viewed by 3577
Abstract
Heart failure (HF) poses a substantial global burden due to its high morbidity, mortality, and healthcare costs. Accurate prognostication is crucial for optimizing treatment, resource allocation, and patient counseling. Prognostic tools range from simple clinical scores such as ADHERE and MAGGIC to more [...] Read more.
Heart failure (HF) poses a substantial global burden due to its high morbidity, mortality, and healthcare costs. Accurate prognostication is crucial for optimizing treatment, resource allocation, and patient counseling. Prognostic tools range from simple clinical scores such as ADHERE and MAGGIC to more complex models incorporating biomarkers (e.g., NT-proBNP, sST2), imaging, and artificial intelligence techniques. In acute HF, models like EHMRG and STRATIFY aid early triage, while in chronic HF, tools like SHFM and BCN Bio-HF support long-term management decisions. Despite their utility, most models are limited by poor generalizability, reliance on static inputs, lack of integration into electronic health records, and underuse in clinical practice. Novel approaches involving machine learning, multi-omics profiling, and remote monitoring hold promise for dynamic and individualized risk assessment. However, these innovations face challenges regarding interpretability, validation, and ethical implementation. For prognostic models to transition from theoretical promise to practical impact, they must be continuously updated, externally validated, and seamlessly embedded into clinical workflows. This review emphasizes the potential of prognostic models to transform HF care but cautions against uncritical adoption without robust evidence and practical integration. In the evolving landscape of HF management, prognostic models represent a hopeful avenue, provided their limitations are acknowledged and addressed through interdisciplinary collaboration and patient-centered innovation. Full article
(This article belongs to the Special Issue Personalized Treatment for Heart Failure)
46 pages, 1152 KB  
Systematic Review
Key Determinants Influencing Treatment Decision-Making for and Adherence to Active Surveillance for Prostate Cancer: A Systematic Review
by Pani Nasseri, Jorien Veldwijk, Christa Niehot, Esmee F. H. Mulder, Esther W. de Bekker-Grob, Monique J. Roobol and Lionne D. F. Venderbos
J. Pers. Med. 2025, 15(7), 315; https://doi.org/10.3390/jpm15070315 - 15 Jul 2025
Cited by 5 | Viewed by 4423
Abstract
Background/Objectives: Men choosing active surveillance (AS) for low- and intermediate risk prostate cancer (PCa) must weigh its harms and benefits against those of active treatment (AT). To understand factors influencing treatment decision-making (TDM) for and adherence to AS, we performed a systematic [...] Read more.
Background/Objectives: Men choosing active surveillance (AS) for low- and intermediate risk prostate cancer (PCa) must weigh its harms and benefits against those of active treatment (AT). To understand factors influencing treatment decision-making (TDM) for and adherence to AS, we performed a systematic review. Methods: This systematic review followed the PRISMA guidelines and was registered with PROSPERO (ID CRD42024490427). A comprehensive search strategy from 1990 to 2024 was executed across multiple databases, including Medline and Embase. Studies were included if they examined factors influencing TDM for AS or active monitoring (AM) and adherence to AS/AM. Results: Of the 8316 articles identified, 223 articles were eligible for inclusion. The decision for AS was influenced by different factors, including comprehensive information about treatment options, social support, and wanting to avoid side-effects. Key reasons to choose AT over AS included a lack of information from healthcare professionals about AS and fear of disease progression. Reasons for adhering to the AS protocol included better quality of life and social support. While non-adherence to the AS protocol is prompted by, e.g., biopsy burden and uncertainty, AS discontinuation is generally a results of medical reasons (namely disease upgrading) or from anxiety and family pressure. Conclusions: Numerous factors influence men’s treatment pathway choices. Involving family members in shared decision-making and ensuring that patients have detailed information about AS as a treatment option could help to improve AS uptake. Addressing psychosocial challenges through education and family involvement could improve AS adherence. These insights can help healthcare providers by addressing men’s needs during TDM and AS. Full article
(This article belongs to the Section Personalized Therapy and Drug Delivery)
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13 pages, 538 KB  
Article
Stereotactic Body Radiotherapy for the Treatment of Oligometastases Located in the Peritoneum or in the Abdominal Wall: Preliminary Results from a Mono-Institutional Analysis
by Francesco Cuccia, Salvatore D’Alessandro, Marina Campione, Vanessa Figlia, Gianluca Mortellaro, Antonio Spera, Giulia Musicò, Antonino Abbate, Salvatore Russo, Carlo Messina, Giuseppe Carruba, Livio Blasi and Giuseppe Ferrera
J. Pers. Med. 2025, 15(7), 312; https://doi.org/10.3390/jpm15070312 - 14 Jul 2025
Cited by 4 | Viewed by 2005
Abstract
Purpose/Objective(s): Peritoneal carcinosis can occur in several gastrointestinal or gynecological malignancies and its prognosis is usually poor. With the advent of more effective systemic agents, the overall survival of metastatic patients has been revolutionized and isolated peritoneal or abdominal wall metastases might benefit [...] Read more.
Purpose/Objective(s): Peritoneal carcinosis can occur in several gastrointestinal or gynecological malignancies and its prognosis is usually poor. With the advent of more effective systemic agents, the overall survival of metastatic patients has been revolutionized and isolated peritoneal or abdominal wall metastases might benefit from local treatments; Stereotactic Body Radiotherapy (SBRT) might be considered in selected patients with oligometastatic presentation. Materials/Methods: Oligometastases were defined according to recent ESTRO/EORTC consensus. Inclusion criteria were as follows: ECOG PS ≤ 2, written informed consent, up to five lesions to be treated at the same time, patients treated with radiotherapy schedules applying minimum 6 Gy per fraction. The primary endpoint of the study was local control (LC); acute and late toxicity, distant progression-free survival (DPFS), time-to-next systemic treatment (TNST), polymetastatic-free survival (PMFS) and overall survival (OS) were secondary endpoints. Toxicity was assessed according to CTCAE criteria v5.0. Statistical associations between clinical variables and outcomes were assessed using Fisher’s exact test, and Kruskal–Wallis test, as appropriate. Survival outcomes were estimated using the Kaplan–Meier method and compared using the log-rank test. Results: Between April 2020 and September 2024 a total of 26 oligometastatic lesions located in the peritoneum or in the abdominal wall detected in 20 patients received SBRT with Helical Tomotherapy. All cases have been assessed by a multidisciplinary team. Only in three patients out of twenty did more than one lesion receive SBRT: two lesions in two patients, and five lesions in a single case of colorectal cancer with ongoing third-line systemic treatment. Median total dose was 30 Gy (27–35 Gy) in five fractions (3–5). The most frequent primary neoplasm was ovarian cancer in 14/20, endometrial in 2/20, while the remaining were colorectal, vaginal, pancreatic and non-small cell lung cancer. Four lesions were located in the abdominal wall, while the remaining twenty-two were located in the peritoneum. Concurrent systemic therapy was administered in 18/20 patients. With a median follow-up of 15 months (range, 6–59), our 1-year LC was 100%, while 1-year DPFS, PMFS, TNTS and OS rates were 54%, 69%, 61% and 83%, respectively. Abdominal wall location and treatment of a subsequent oligometastatic recurrence with a second course of SBRT were both significantly associated with improved OS (p = 0.03 and p = 0.04, respectively). No G ≥ 3 adverse events occurred. Conclusion: Our preliminary data support the use of SBRT in selected cases of oligometastatic disease located in the peritoneum or in the abdominal wall with excellent results in terms of tolerability and promising clinical outcomes. Full article
(This article belongs to the Special Issue Personalized Diagnosis and Treatment of Oligometastatic Disease)
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13 pages, 771 KB  
Article
The Anesthesiologic Impact of Single-Port Robot-Assisted Partial Nephrectomy: A Tertiary Referral Comparative Analysis Between Full-Flank Transperitoneal, Retroperitoneal, and Supine Lower Anterior Access (LAA)
by Luca Lambertini, Matteo Pacini, Paolo Polverino, Nikki R. Wilkinson, Ruben Sauer Calvo, Donato Cannoletta, Antony Angelo Pellegrino, Greta Pettenuzzo, Fabrizio Di Maida, Andrea Mari, Gabriele Bignante, Francesco Lasorsa, Alessandro Zucchi, Sergio Serni, Andrea Minervini, David B. Glick and Simone Crivellaro
J. Pers. Med. 2025, 15(7), 306; https://doi.org/10.3390/jpm15070306 - 11 Jul 2025
Cited by 12 | Viewed by 2381
Abstract
Objective: To explore the impact of supine retroperitoneal single-port robot-assisted partial nephrectomy with lower anterior access on perioperative ventilatory, cardiovascular, and pain-related outcomes compared to a cohort of patients treated with single-port robot-assisted retroperitoneal or transperitoneal partial nephrectomy with standard flank patient positioning. [...] Read more.
Objective: To explore the impact of supine retroperitoneal single-port robot-assisted partial nephrectomy with lower anterior access on perioperative ventilatory, cardiovascular, and pain-related outcomes compared to a cohort of patients treated with single-port robot-assisted retroperitoneal or transperitoneal partial nephrectomy with standard flank patient positioning. Materials and Methods: Clinical and surgical data of all consecutive patients treated with single-port robot-assisted partial nephrectomy between March 2019 and January 2024 were prospectively collected and retrospectively analyzed. Specific same-day-discharge guidelines were applied to all cases. Failed same-day discharge was defined as the presence of early (<90 days) perioperative complications or the absence of opioid-free postoperative recovery. Results: Overall, 105 consecutive patients treated with single-port robot-assisted partial nephrectomy were analyzed. No differences emerged in baseline features. Peak inspiratory pressure and plateau pressure changes were significantly lower in the supine retroperitoneal lower anterior access group from the time of CO2 insufflation throughout every 30-min operative setpoint assessment (p = 0.02, p = 0.03, and p = 0.02, respectively). The transperitoneal group showed significantly higher values of mean, systolic, and diastolic blood pressure compared to retroperitoneal approaches. The supine lower anterior access group also showed significantly lower non-surgical operative room time, perioperative opioid administration, and postoperative median VAS pain score. Conclusions: The adoption of supine lower anterior access improved perioperative ventilatory, cardiovascular, and pain-related outcomes, also optimizing operating room efficiency. Further multicenter series with longer follow-ups are still needed to validate our preliminary results. Full article
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12 pages, 519 KB  
Article
Cardiac Autonomic Measures Predict Clinician-Rated Anxiety and Behavioral Response to Propranolol in Autistic Children and Young Adults
by Carrina Appling, Nanan Nuraini, Ryan Holem, Samantha Hunter, Kathy Hirst, Nicole Takahashi, Micah O. Mazurek, Stephen M. Kanne, Bradley Ferguson and David Q. Beversdorf
J. Pers. Med. 2025, 15(7), 286; https://doi.org/10.3390/jpm15070286 - 3 Jul 2025
Cited by 5 | Viewed by 3520
Abstract
Propranolol, a nonselective beta-adrenergic antagonist, has shown potential for improving anxiety in autistic individuals. Heart rate variability (HRV), a noninvasive cardiac marker of autonomic nervous system functioning, may help identify individuals most likely to benefit from propranolol. Objectives: Determine if baseline resting [...] Read more.
Propranolol, a nonselective beta-adrenergic antagonist, has shown potential for improving anxiety in autistic individuals. Heart rate variability (HRV), a noninvasive cardiac marker of autonomic nervous system functioning, may help identify individuals most likely to benefit from propranolol. Objectives: Determine if baseline resting HRV and other cardiac measures predict the response to propranolol for anxiety and core autism symptomology in autistic children and young adults. Methods: Sixty-two autistic individuals (ages 7–24) participated in a two-phase (i.e., a 12-week randomized controlled trial and a 12-week open-label extension) trial of propranolol. Baseline (i.e., resting state, prior to treatment) HRV and other cardiac measures were obtained from an electrocardiogram. Clinical global impression for anxiety symptoms and overall behavioral treatment impact were assessed after the 12-week trial period. Group-level (i.e., all participants) and responder groups (i.e., strong, minimal, and non-responders to propranolol) were analyzed for treatment effects. Results: HRV variables predicted group-level anxiety response to propranolol, particularly for strong responders. Also, lower baseline values of parasympathetic HRV indices were significantly correlated with greater behavioral improvement after treatment with propranolol. Last, several baseline cardiac variables were associated with improvement in multiple behavioral domains after treatment with propranolol. Conclusions: HRV may be a potential biomarker for predicting reduced anxiety and behavioral symptoms in response to propranolol in autistic children and young adults. Identifying autonomic profiles associated with positive treatment outcomes could guide future personalized interventions in autism. The results presented herein should be regarded as preliminary until the findings are replicated in future clinical trials. Full article
(This article belongs to the Special Issue Personalized Medicine for Autism Spectrum Disorder)
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30 pages, 4082 KB  
Systematic Review
Prostate MRI Using Deep Learning Reconstruction in Response to Cancer Screening Demands—A Systematic Review and Meta-Analysis
by Stephan Ursprung, Georgios Agrotis, Petra J. van Houdt, Leon C. ter Beek, Thierry N. Boellaard, Regina G. H. Beets-Tan, Derya Yakar, Anwar R. Padhani and Ivo G. Schoots
J. Pers. Med. 2025, 15(7), 284; https://doi.org/10.3390/jpm15070284 - 2 Jul 2025
Cited by 13 | Viewed by 3148
Abstract
Background/Objectives: There is a growing need for efficient prostate MRI protocols due to their increasing use in managing prostate cancer (PCa) and potential inclusion in screening. Deep learning reconstruction (DLR) may enhance MR acquisitions and improve image quality compared to conventional acceleration [...] Read more.
Background/Objectives: There is a growing need for efficient prostate MRI protocols due to their increasing use in managing prostate cancer (PCa) and potential inclusion in screening. Deep learning reconstruction (DLR) may enhance MR acquisitions and improve image quality compared to conventional acceleration techniques. This systematic review examines DLR approaches to prostate MRI. Methods: A search of PubMed, Web of Science, and Google Scholar identified eligible studies comparing DLR to conventional reconstruction for prostate imaging. A narrative synthesis was performed to summarize the impact of DLR on acquisition time, image quality, and diagnostic performance. Results: Thirty-three studies showed that DLR can reduce acquisition times for T2w and DWI imaging while maintaining or improving image quality. It did not significantly affect clinical tasks, such as biopsy decisions, and performed comparably to human readers in PI-RADS scoring and the detection of extraprostatic extension. However, AI models trained on conventional data might be less accurate with DLR images. The heterogeneity in image quality metrics among the studies prevented quantitative synthesis. Discussion: DLR has the potential to achieve substantial time savings in prostate MRI while maintaining image quality, which is especially relevant because of increased MRI demands. Future research should address the effect of DLR on clinically relevant downstream tasks, including AI algorithms’ performances and biopsy decisions, and explore task-specific accelerated protocols for screening, image-guided biopsy, and treatment. Full article
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36 pages, 4138 KB  
Article
Shoulder and Scapular Function Before and After a Scapular Therapeutic Exercise Program for Chronic Shoulder Pain and Scapular Dyskinesis: A Pre–Post Single-Group Study
by Ana S. C. Melo, Ana L. Soares, Catarina Castro, Ricardo Matias, Eduardo B. Cruz, J. Paulo Vilas-Boas and Andreia S. P. Sousa
J. Pers. Med. 2025, 15(7), 285; https://doi.org/10.3390/jpm15070285 - 2 Jul 2025
Cited by 2 | Viewed by 9614
Abstract
Background/Objectives: Scapular adaptations have been associated with shoulder pain. However, conflicting findings have been reported after scapular-focused interventions. The present study aims to evaluate scapula-related outcomes before and after a scapular therapeutic exercise program. Methods: Eighteen adult volunteers with chronic shoulder [...] Read more.
Background/Objectives: Scapular adaptations have been associated with shoulder pain. However, conflicting findings have been reported after scapular-focused interventions. The present study aims to evaluate scapula-related outcomes before and after a scapular therapeutic exercise program. Methods: Eighteen adult volunteers with chronic shoulder pain participated in an 8-week scapular therapeutic exercise program that was personalized according to their pain condition and the presence of scapular dyskinesis. This program included preparation and warm-up, scapular neuromotor control, and strengthening and stretching exercises. Both self-reported (shoulder pain and function, psychosocial factors, and self-impression of change) and performance-based outcomes (scapular muscular stiffness and activity level, tridimensional motion, rhythm, and movement quality, measured while participants drank a bottle of water) were used for analysis. Results: After the intervention, participants presented reduced shoulder pain (p < 0.0001) and pain catastrophizing (p = 0.004) and increased shoulder function (p < 0.0001). Additionally, the participants presented changes in scapular winging (p < 0.0001 to p = 0.043), increased scapular downward rotation (p < 0.0001) and depression (p = 0.038), and decreased global movement smoothness (p = 0.003). These were associated with changes in serratus anterior activity (p = 0.016 to p = 0.035), decreased middle (p < 0.0001 to p = 0.002) and lower trapezius (p < 0.0001) and levator scapulae (p = 0.048) activity levels, and decreased middle trapezius muscle stiffness (p = 0.014). Patients’ self-perception of change was rated favorably. Conclusions: After a scapular therapeutic exercise program, changes were observed in both self-reported and performance-based outcomes. These results need to be confirmed by a randomized controlled trial. Full article
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18 pages, 1117 KB  
Review
Surgical Management of Mediastinal Ectopic Parathyroids
by Giacomo Rabazzi, Gianmarco Elia, Vittorio Aprile, Stylianos Korasidis, Maria Giovanna Mastromarino, Diana Bacchin, Alessandra Lenzini, Marcello Carlo Ambrogi, Greta Alì, Filomena Cetani, Gabriele Materazzi and Marco Lucchi
J. Pers. Med. 2025, 15(7), 276; https://doi.org/10.3390/jpm15070276 - 30 Jun 2025
Cited by 9 | Viewed by 2661
Abstract
Primary hyperparathyroidism is commonly caused by parathyroid adenomas, hyperplasia, or, rarely, carcinoma. In up to 20% of cases, parathyroid tissue may be ectopic, often located in the mediastinum due to aberrant embryologic migration. Ectopic parathyroid glands pose a diagnostic and therapeutic challenge, and [...] Read more.
Primary hyperparathyroidism is commonly caused by parathyroid adenomas, hyperplasia, or, rarely, carcinoma. In up to 20% of cases, parathyroid tissue may be ectopic, often located in the mediastinum due to aberrant embryologic migration. Ectopic parathyroid glands pose a diagnostic and therapeutic challenge, and an accurate preoperative localization is essential for an effective and safe resection. Imaging modalities such as CT scan, TC-sestamibi scintigraphy, PET/CT, ultrasonography and MRI are routinely employed, whereas combined techniques offer improved diagnostic accuracy. Emerging approaches, however, including PET/CT with choline tracers, have shown promise in enhancing sensitivity in complex or recurrent cases. When ectopic glands are in the mediastinum, thoracic surgical intervention is required. Traditional open approaches, such as sternotomy or thoracotomy, are associated with significant morbidity. The development and evolution of minimally invasive surgery (MIS) has become the preferred approach in selected cases. When MIS is performed, intraoperative assessment and parathyroid identification are crucial to ensure complete gland removal. Intraoperative parathyroid hormone (ioPTH) monitoring provides real-time confirmation of surgical success. The integration of advanced imaging, intraoperative monitoring, and minimally invasive techniques significantly improves surgical outcomes while minimizing complications and accelerating patient recovery. Ultimately, the effective treatment of ectopic parathyroid glands relies on a personalized approach, adapting both diagnostic and surgical strategies to the unique anatomical and clinical context of each patient. Integration of advanced imaging, intraoperative monitoring, and minimally invasive techniques, combined with a multidisciplinary team involving endocrinologists, radiologists, and thoracic surgeons, is key to optimizing outcomes and reducing patient morbidity. Full article
(This article belongs to the Section Methodology, Drug and Device Discovery)
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17 pages, 627 KB  
Review
Major Allele Frequencies in CYP2C9 and CYP2C19 in Asian and European Populations: A Case Study to Disaggregate Data Among Large Racial Categories
by Horng-Ee Vincent Nieh and Youssef Malak Roman
J. Pers. Med. 2025, 15(7), 274; https://doi.org/10.3390/jpm15070274 - 27 Jun 2025
Cited by 15 | Viewed by 7700
Abstract
CYP2C9 and CYP2C19 are major CYP450 enzymes that heavily influence the hepatic metabolism and bioactivation of many medications, including over-the-counter and narrow therapeutic index drugs. Compared to the wild-type alleles, genetic variants in either gene could potentially alter the pharmacokinetics of widely used [...] Read more.
CYP2C9 and CYP2C19 are major CYP450 enzymes that heavily influence the hepatic metabolism and bioactivation of many medications, including over-the-counter and narrow therapeutic index drugs. Compared to the wild-type alleles, genetic variants in either gene could potentially alter the pharmacokinetics of widely used medications, affect the desired therapeutic outcomes of a drug therapy, or increase the risk of undesired adverse events. The frequency of genetic polymorphisms associated with CYP450 enzymes can widely differ across and between racial and ethnic groups. This narrative review highlights the differences in CYP2C9 and CYP2C19 allele frequencies among European and Asian population subgroups, using published literature. Identifying the substantial differences across European and Asian populations, as well as within Asian subgroups, indicates the need to further scrutinize general population data. Clinical scientists and healthcare providers should advocate for more inclusive clinical pharmacogenomic data and racially and ethnically diverse pharmacogenomic databases. Clinical trials of limited racial and geographical diversity may not necessarily have strong external generalizability for all populations. Furthermore, clinical trials that designate an all-inclusive Asian population consisting of multiple ethnicities may not be adequate due to the perceived genetic differences among Asian subgroups. Gravitating towards a more comprehensive approach to utilizing pharmacogenomic data necessitates granular population-level genetic information which can be leveraged to improve how drug therapies are prescribed, achieve health equity, and advance the future of precision medicine. Full article
(This article belongs to the Special Issue New Trends and Challenges in Pharmacogenomics Research)
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