Search Results (6,253)

Accurate dengue forecasting is essential for sustainable public health planning, especially in tropical regions where the disease remains a persistent threat. This study evaluates the predictive performance of seven modeling approaches—Seasonal Autoregressive Integrated Moving Average (SARIMA), Extreme Gradient Boosting (XGBoost), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), Convolutional LSTM (CNN–LSTM), and a Bayesian spatiotemporal model—using monthly dengue incidence data from 2009 to 2023 in Bandung City, Indonesia. Model performance was assessed using MAE, sMAPE, RMSE, and Pearson’s correlation (R). Among all models, the Bayesian spatiotemporal model achieved the best performance, with the lowest MAE (5.543), sMAPE (62.137), and RMSE (7.482), and the highest R (0.723). While SARIMA and XGBoost showed signs of overfitting, the Bayesian model not only delivered more accurate forecasts but also produced spatial risk estimates and identified high-risk hotspots via exceedance probabilities. These features make it particularly valuable for developing early warning systems and guiding targeted public health interventions, supporting the broader goals of sustainable disease management. Full article

Urinary tract infections (UTIs) are among the most prevalent bacterial infections in women, with high recurrence rates and growing concerns over antimicrobial resistance. The need for alternative or adjunctive therapies has spurred interest in plant-based treatments, which offer antimicrobial, anti-inflammatory, antioxidant, and immune-modulatory benefits. This review summarizes the mechanisms of action, clinical efficacy, and therapeutic potential of various medicinal plants and natural compounds for preventing and treating UTIs in women. Notable candidates include cranberry, bearberry, pomegranate, green tea, and other phytochemicals with proven anti-adhesive and biofilm-disrupting properties. Evidence from clinical trials and meta-analyses supports the role of cranberry natural products and traditional herbal medicines (THMs) in reducing UTI recurrence, especially when combined with antibiotics. Notably, A-type proanthocyanidins in cranberry and arbutin in bearberry are key bioactive compounds that exhibit potent anti-adhesive and biofilm-disrupting properties, offering promising adjunctive strategies for preventing recurrent urinary tract infections. Additionally, emerging therapies, such as platelet-rich plasma (PRP), show promise in restoring bladder function and reducing infection in women with lower urinary tract dysfunction. Overall, plant-based strategies represent a valuable and well-tolerated complement to conventional therapies and warrant further investigation through high-quality clinical trials to validate their efficacy, safety, and role in personalized UTI management. Full article

Background/Objectives: Inflammatory bowel disease (IBD) is characterized by chronic relapsing and remitting inflammation of the gastrointestinal tract. Fecal microbiota transplantation (FMT) has emerged as an FDA-approved treatment for recurrent Clostridioides difficile infections (CDIs), with promising potential in patients with IBD. This manuscript aimed to provide a comprehensive and updated review of the available literature on fecal microbiota transplantation, its clinical use in IBD in general, as well as in patients with IBD and CDI. Methods: An extensive literature search was performed from October 2024 to March 2025. All publications available within PubMed, Medline, Embase, Google Scholar, and Cochrane databases were reviewed. All original articles, case reports, review articles, systematic reviews, and meta-analyses were included. Qualitative and quantitative data were both extracted. Discussion: Intestinal microbiota is an integral part of the human body, and dysbiosis (an imbalance in the gut’s microbial community) has been linked with several pathologies. Dysbiosis in IBD is marked by reduced beneficial bacteria and increased pro-inflammatory pathogens, contributing to mucosal damage and immune dysregulation. FMT has emerged as a solution to dysbiosis, with the first case recorded in 1917. FMT has been successful in treating patients with CDI. The diagnostic value of the gut microbiome is currently being explored as a possible therapeutic approach to IBD. Several studies have assessed FMT in patients with IBD and CDI with promising results in both ulcerative colitis (UC) and Crohn’s disease (CD) but varying efficacy based on administration routes, donor selection, and processing methods. In the context of recurrent CDI in patients with IBD, FMT demonstrates a high cure rate and potential benefit in concurrently improving IBD activity. However, risks such as IBD flare-ups post-FMT remain a concern. Conclusions: FMT holds promising potential in the management of CDI in patients with IBD. By restoring microbial diversity and correcting dysbiosis, FMT offers a novel, microbiota-targeted alternative to conventional therapies. While data support its efficacy in improving disease remission, variability in outcomes underscores the need for standardized protocols and additional large-scale, controlled studies. Continued research efforts into donor selection, treatment regimens, and long-term safety will be critical to optimizing FMT’s role in IBD and CDI care as well as improving patient outcomes. Full article

Background:Candida auris (now Candidozyma auris) is an emerging pathogen that causes nosocomial candidemia, particularly in intensive care unit (ICU) settings. Its high resistance rates, prolonged environmental persistence, and outbreak potential underscore the need for robust comparative studies with non-auris Candida species (NACS). Methods: In this retrospective, case–control study, adult ICU patients with candidemia were enrolled between April 2022 and October 2024. Clinical data, risk factors, and mortality at 14, 30, and 90 days were compared between the C. auris and NACS groups. Univariate and multivariate logistic regression analyses were performed to identify mortality-associated factors. Results: Of the 182 patients analyzed, candidemia due to C. auris was identified in 33 (18.1%) cases, while 149 (81.9%) cases involved NACS. Fluconazole resistance (p < 0.001), prior antifungal exposure (p = 0.003), urinary catheter use (p = 0.040), and the length of ICU stay before the onset of candidemia (p < 0.001) were significantly higher in the C. auris cases. However, mortality rates at 14, 30, and 90 days were similar between the groups (p = 0.331, 0.108, and 0.273, respectively). The Sequential Organ Failure Assessment score was the only consistent independent predictor of mortality at all time points. In the NACS cases, the Pitt Bacteremia Score and sepsis also predicted 30- and 90-day mortality. While late recurrence was more frequent in the cases of C. auris, early recurrence and other risk factors were similar between the groups. Conclusions:C. auris candidemia was associated with higher fluconazole resistance, prior antifungal use, longer ICU stay, more frequent urinary catheterization, and later recurrence than the NACS cases. However, the mortality rates at 14, 30, and 90 days were comparable. Outcomes were primarily influenced by illness severity rather than the infecting Candida species, highlighting the importance of timely therapy, stewardship, and infection control. Full article

Background: Acute necrotising encephalopathy (ANE) is a rare and severe type of encephalopathy with bilateral symmetrical brain lesions, often following a viral prodrome. ANE type 1 (ANE1) is a disease subtype with a predisposing mutation in the gene encoding RAN binding protein 2 (RANBP2). Methods: We report a case of a 3-year-old girl with clinical symptoms of ANE and brain MRI findings suggesting ANE1, which was subsequently confirmed by genetic analysis. Results: MRI of the brain demonstrated symmetrical high T2/FLAIR signal changes in the lateral geniculate bodies, claustrum, ventromedial thalami, subthalamic nuclei, mamillary bodies, and brainstem, with partly corresponding diffusion restriction, as well as additional haemorrhagic changes in the lateral geniculate bodies on susceptibility weighted imaging. Genetic analysis revealed a heterozygous pathogenic variant of the RANBP2 gene. With immunosuppressive and supportive treatment, the patient fully recovered and was discharged after 10 days in the hospital with no residual symptoms. Conclusions: Recognition of the characteristic MRI findings in ANE1 can facilitate a timely diagnosis and enhance the clinical management of the patient and their relatives, especially given the high risk of disease recurrence. Full article

Background: Despite advances in treatment, oral squamous cell carcinoma (OSCC) remains associated with high recurrence and mortality rates. Traditional TNM staging, while foundational, may not fully capture tumor aggressiveness. This study aimed to identify clinical and histopathological predictors of survival to enhance risk stratification and guide treatment planning in OSCC patients. Methods: A retrospective study of 100 patients with confirmed OSCC treated surgically with curative intent between January 2019 and January 2024 was analyzed. Clinicopathologic variables—including tumor volume, angioinvasion, perineural invasion, lymphatic invasion, and nodal status—were evaluated. Disease-specific survival (DSS) was assessed using Kaplan–Meier estimates, Cox regression, and logistic regression models. Results: The cohort had a mean age of 62.1 years, with a 46% OS rate and 43% DSS at study end. Perineural invasion (44%) and lymphatic invasion (42%) were the most common invasive features. Kaplan–Meier analysis revealed significantly reduced DSS in patients with angioinvasion, perineural invasion, and pN+ status. Multivariate logistic regression identified perineural invasion (OR = 3.93, p = 0.0023) and pN+ status (OR = 2.74, p = 0.0284) as independent predictors of cancer-specific mortality. Tumor volume was significantly associated with lymphatic invasion but not directly with DSS. Conclusions: Perineural invasion, angioinvasion, lymph node involvement, and tumor volume are important prognostic markers in OSCC, offering critical information beyond TNM staging. Incorporating these features into risk assessment models could improve prognostic accuracy and inform more individualized treatment strategies for high-risk OSCC patients. Full article

Underwater acoustic (UWA) communication supports many critical applications but still faces several physical-layer signal processing challenges. In response, recent advances in machine learning (ML) and deep learning (DL) offer promising solutions to improve signal detection, modulation adaptability, and classification accuracy. These developments highlight the need for a systematic evaluation to compare various ML/DL models and assess their performance across diverse underwater conditions. However, most existing reviews on ML/DL-based UWA communication focus on isolated approaches rather than integrated system-level perspectives, which limits cross-domain insights and reduces their relevance to practical underwater deployments. Consequently, this systematic literature review (SLR) synthesizes 43 studies (2020–2025) on ML and DL approaches for UWA communication, covering channel estimation, adaptive modulation, and modulation recognition across both single- and multi-carrier systems. The findings reveal that models such as convolutional neural networks (CNNs), long short-term memory networks (LSTMs), and generative adversarial networks (GANs) enhance channel estimation performance, achieving error reductions and bit error rate (BER) gains ranging from ${10}^{-3}$ to ${10}^{-6}$. Adaptive modulation techniques incorporating support vector machines (SVMs), CNNs, and reinforcement learning (RL) attain classification accuracies exceeding 98% and throughput improvements of up to 25%. For modulation recognition, architectures like sequence CNNs, residual networks, and hybrid convolutional–recurrent models achieve up to 99.38% accuracy with latency below 10 ms. These performance metrics underscore the viability of ML/DL-based solutions in optimizing physical-layer tasks for real-world UWA deployments. Finally, the SLR identifies key challenges in UWA communication, including high complexity, limited data, fragmented performance metrics, deployment realities, energy constraints and poor scalability. It also outlines future directions like lightweight models, physics-informed learning, advanced RL strategies, intelligent resource allocation, and robust feature fusion to build reliable and intelligent underwater systems. Full article

Background: Recurrent apical pelvic organ prolapse (POP) presents significant management challenges, with limited evidence on optimal surgical approaches. This study evaluated the safety and long-term effectiveness of minimally invasive sacrospinous ligament (SSL) fixation using the EnPlace^® device for treating recurrent apical POP. Methods: A cohort analysis was performed on 82 consecutive patients (mean age 65.9 ± 8.6 years) with stage III or IV recurrent symptomatic apical POP. All patients underwent transvaginal SSL fixation using the EnPlace^® device between January 2021 and July 2023. Primary outcomes included anatomical cure rates, patient satisfaction, and complications. Long-term follow-up was conducted via a structured telephone survey in December 2024. Results: The mean interval between primary and recurrent repair was 3.2 ± 2.6 years. Most patients (64.6%) underwent surgery under regional anesthesia with a mean operative time of 24.1 ± 7.1 min and minimal blood loss (23.8 ± 6.5 mL). No intraoperative complications occurred, and 98.8% of patients were discharged the same day. Two early postoperative complications occurred, neither requiring surgical intervention. At six-month follow-up, significant improvements were observed in POP-Q measurements for apical prolapse, cystocele, and rectocele. Long-term follow-up (mean 31.6 ± 8.3 months) revealed that only 11 patients (13.4%) reported mild POP symptoms. Patient satisfaction scores averaged 90.8 ± 17.1, with only 8.5% reporting low satisfaction. Only two patients (2.4%) required additional intervention for recurrent apical POP. Conclusions: Minimally invasive SSL fixation using the EnPlace^® device demonstrates favorable safety and efficacy for recurrent apical POP, offering a viable alternative to more invasive procedures with high patient satisfaction and low recurrence rates. Full article

Background and Objectives: A thorough comprehension of the essential molecules and related processes underlying the carcinogenesis, proliferation, and recurrence of acute myeloid leukemia (AML) is crucial. This study aimed to investigate the expression levels, diagnostic and prognostic significance and biological roles of Bcl-2-associated athanogene 4 (BAG4) in AML carcinogenesis. Materials and Methods: Gene expression profiles were analyzed using publicly available datasets, particularly GSE9476 and TCGA, using tools such as GEO2R, GEPIA2, UALCAN and TIMER2.0. The immune infiltration correlation was examined using the GSCA platform, while the function of BAG4 at the single-cell level was analyzed via CancerSEA. Protein–protein and gene–gene interaction networks were constructed using STRING and GeneMANIA, and enrichment analyses were performed using GO, KEGG and DAVID. Expression validation was performed using RT-qPCR in HL-60 (AML) and HaCaT (normal) cells, and ROC curve analysis evaluated the diagnostic accuracy. Results: BAG4 was significantly overexpressed in AML tissues and cell lines compared with healthy controls. High BAG4 expression was associated with poor overall survival and strong diagnostic power (AUC = 0.944). BAG4 was positively associated with immune cell infiltration and negatively associated with CD4+/CD8+ T and NK cells. At the single-cell level, BAG4 was associated with proliferation, invasion, and DNA repair functions. Functional network analysis showed that BAG4 interacted with apoptosis and necroptosis-related genes such as BCL2, BAG3 and TNFRSF1A and was enriched in pathways such as NF-κB, TNF signaling and apoptosis. Conclusions: BAG4 is overexpressed in AML and is associated with adverse clinical outcomes and immune modulation. It may play an important role in leukemogenesis by affecting apoptotic resistance and immune evasion. BAG4 has potential as a diagnostic biomarker and treatment target in AML, but further in vivo and clinical validation is needed. Full article

Background/Objectives: Biliary tract cancers (BTCs) are aggressive malignancies with a poor prognosis. Surgery remains the only curative option, yet recurrence rates are high, and the role of adjuvant chemotherapy remains debated. This study aims to evaluate the impact of adjuvant chemotherapy and prognostic factors on survival outcomes in resected BTCs. Methods: We conducted a retrospective multicenter study analyzing patients diagnosed with intrahepatic (iCCA) and extrahepatic cholangiocarcinoma (eCCA) or gallbladder cancer (GBC) who underwent curative-intent surgical resection between 1999 and 2023. Demographic, clinicopathological, and treatment data were collected from institutional databases. Survival outcomes were assessed using Kaplan–Meier analysis, and prognostic factors were identified through Cox proportional hazards regression. Results: A total of 155 patients were included, with a median follow-up of 84.6 months. The cohort comprised 38.7% iCCA, 31.6% eCCA, and 29.7% GBC. R0 resection was achieved in 77.4% of cases, while lymph node involvement was present in 39.4%. Median overall survival (OS) significantly varied by stage (p < 0.001), ranging from >60 months for stage I to ~12 months for stage IVA. Eastern Cooperative Oncology Group (ECOG) performance status (PS) emerged as the strongest independent prognostic factor for OS (p < 0.001). Adjuvant chemotherapy, administered to 49.0% of patients, did not significantly improve OS in the overall cohort (p = 0.899). However, subgroup analyses suggested potential benefits in iCCA and eCCA but not in GBC. High CA19-9 levels and vascular invasion were associated with poorer survival outcomes. Conclusions: This study highlights the prognostic significance of ECOG PS, resection margin status, lymph node involvement, and CA19-9 levels in resected BTCs. The lack of a clear survival benefit from adjuvant chemotherapy underscores the need for improved therapeutic strategies. Future research should focus on refining risk stratification models and identifying more effective adjuvant treatments to enhance long-term survival outcomes in patients with BTC. Full article

Background/Objectives: Benign choledochojejunal anastomotic stricture (CJS) is a major late adverse event (AE) after choledochojejunostomy. An endoscopic method using balloon-assisted enteroscopy endoscopic retrograde cholangiopancreatography (BAE-ERCP) was recently developed for CJS. Methods: We retrospectively reviewed 45 patients (98 cases) who underwent BAE-ERCP for benign CJS. The primary endpoint was the success rate of ERCP. The secondary endpoints were AEs and the recurrence rate of benign CJS. Results: ERCP was successful in 36 patients (80%). Balloon dilation of the anastomosis was performed in all 36 patients in whom ERCP was successful, and temporary plastic stent (PS) placement was performed in 20 of these patients (55.6%). Three cases of PS migration and one case of portal vein thrombosis occurred as mild AEs. However, one case of intestinal perforation required emergency surgery for repair. In univariate analysis, proficiency in ERCP procedures (p = 0.019) and surgery at our hospital (p = 0.010) emerged as major factors affecting the procedural success. In univariate analysis, only the early onset of CJS within 400 days after choledochojejunostomy was extracted as a significant factor for the early recurrence of CJS after ERCP (p = 0.036). Conclusions: To ensure successful BAE-ERCP for CJS, it is essential to have proficiency in the ERCP and collect as much detailed information about prior surgery as possible before the procedure. Additionally, the risk of CJS recurrence might be high in patients in whom CJS develops early after surgery. Full article

High mortality rates and poor quality of life result from the late-stage detection and frequent recurrence of gynecological neoplasms. Background/Objectives: The aim of this study was to conduct a systematic analysis of the energy parameters of photodynamic therapy (PDT) in the treatment of cervical and vulvar lesions, with a focus on stimulating immune responses leading to human papillomavirus (HPV) eradication and lesion regression without adverse effects, such as thermal damage. Methods: A total of 46 peer-reviewed studies published between January 2010 and April 2024 were analyzed. These studies focused on PDT applications for cervical and vulvar lesions, sourced from Google Scholar, Scopus, and Web of Science. Results: Although PDT shows promise, significant limitations exist, such as insufficient consideration of individual tumor characteristics, restricted treatment depths, and the heterogeneous distribution and low selectivity of photosensitizer (PS) accumulation in tumors. Tumor hypoxia further reduces PDT’s effectiveness, and most studies overlook immune system activation, which is crucial for targeting HPV infections and improving antitumor responses. Conclusions: Advancing the research into PDT’s molecular and cellular mechanisms, optimizing the immune response stimulation, and improving the PS and delivery methods could enhance the safety and effectiveness of cervical and vulvar neoplasm treatments. The use of personalized PDT parameters may reduce the side effects and enhance the outcomes for patients suffering from gynecological diseases. Full article

Traditional seed supply chains face several hidden risks. Certain regulatory departments tend to focus primarily on entity circulation while neglecting the origin and accuracy of data in seed quality supervision, resulting in limited precision and low credibility of traceability information related to quality and safety. Blockchain technology offers a systematic solution to key issues such as data source distortion and insufficient regulatory penetration in the seed supply chain by enabling data rights confirmation, tamper-proof traceability, smart contract execution, and multi-node consensus mechanisms. In this study, we developed a system that integrates blockchain and neural networks to provide seed traceability services. When uploading seed traceability information, the neural network models are employed to verify the authenticity of information provided by humans and save the tags on the blockchain. Various neural network architectures, such as Multilayer Perceptron, Recurrent Neural Network, Fully Convolutional Neural Network, and Long Short-term Memory model architectures, have been tested to determine the authenticity of seed traceability information. Among these, the Long Short-term Memory model architecture demonstrated the highest accuracy, with an accuracy rate of 90.65%. The results demonstrated that neural networks have significant research value and potential to assess the authenticity of information in a blockchain. In the application scenario of seed quality traceability, using blockchain and neural networks to determine the authenticity of seed traceability information provides a new solution for seed traceability. This system empowers farmers by providing trustworthy seed quality information, enabling better purchasing decisions and reducing risks from counterfeit or substandard seeds. Furthermore, this mechanism fosters market circulation of certified high-quality seeds, elevates crop yields, and contributes to the sustainable growth of agricultural systems. Full article

Endometrial carcinoma (EC) is the most common gynaecological malignancy in developed nations, exhibiting significant molecular heterogeneity that impacts prognosis and treatment response, particularly in advanced or recurrent settings. Traditional classification is increasingly supplemented by molecular subtyping (POLE-ultramutated, MSI-high/dMMR, NSMP, p53-mutated/CNH), which provides crucial prognostic information and predicts benefit from immunotherapy. This review summarizes the landscape of predictive biomarkers for immune checkpoint inhibitor (ICI) therapy in EC, emphasizing a new therapeutic scenario for advanced and recurrent EC. Mismatch repair deficiency (dMMR) or high microsatellite instability (MSI-H), leading to high tumor mutational burden (TMB) and increased neoantigen production, is the most established predictor, resulting in FDA approvals for pembrolizumab and dostarlimab in this subgroup. POLE mutations also confer hypermutation and high immunogenicity, predicting a favorable ICI response. Other biomarkers, including PD-L1 expression and TMB, show variable correlation with response and require further standardization. The tumor immune microenvironment, including tumor-infiltrating lymphocytes (TILs), also influences treatment outcomes. Clinical trials have demonstrated significant survival benefits for ICIs combined with chemotherapy (e.g., dostarlimab/pembrolizumab + carboplatin/paclitaxel) in first-line settings, especially for dMMR/MSI-H EC, and for ICI combinations with targeted agents (e.g., lenvatinib + pembrolizumab) in previously treated patients. Integrating molecular classification and validated biomarkers is essential for optimizing patient selection and developing personalized immunotherapy strategies for EC. Full article

Background/Objectives: Upper tract urothelial carcinoma (UTUC) is often complicated by intravesical recurrence and cancer progression following radical nephroureterectomy (RNU). Identifying reliable prognostic biomarkers remains crucial for optimizing postoperative surveillance. The goal of this study was to assess the prognostic value of the De Ritis ratio (AST/ALT) in predicting bladder recurrence and oncologic outcomes in patients with clinically localized UTUC undergoing RNU. Methods: This retrospective study analyzed 87 patients treated with RNU between 2018 and 2025. Preoperative De Ritis ratios were calculated, and an optimal cut-off value of 1.682 was determined using ROC analysis. Recurrence-free survival (RFS), cancer-specific survival (CSS), and overall survival (OS) were analyzed using the Kaplan–Meier and Cox regression methods. Logistic regression was used to identify independent predictors of bladder recurrence. Results: A high De Ritis ratio was significantly associated with increased bladder recurrence and worse RFS and CSS, but not OS. Multivariate analysis confirmed that an elevated De Ritis ratio, current smoking, positive surgical margins, and synchronous bladder cancer were the independent predictors of bladder recurrence. The De Ritis ratio demonstrated strong discriminatory performance (AUC: 0.807), with good sensitivity and specificity for predicting recurrence. Conclusions: The De Ritis ratio is a simple, cost-effective preoperative biomarker that may aid in identifying UTUC patients at higher risk for intravesical recurrence and cancer-specific mortality. Incorporating this ratio into clinical decision-making could enhance risk stratification and guide tailored follow-up strategies. Full article