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  • Article
  • Open Access

An Integrated Framework for Automated Image Segmentation and Personalized Wall Stress Estimation of Abdominal Aortic Aneurysms

  • Merjulah Roby,
  • Juan C. Restrepo,
  • Deepak K. Shan,
  • Satish C. Muluk,
  • Mark K. Eskandari,
  • Vikram S. Kashyap and
  • Ender A. Finol
Bioengineering2026, 13(2), 191;https://doi.org/10.3390/bioengineering13020191 
(registering DOI)

7 February 2026

Abdominal Aortic Aneurysm (AAA) remains a significant public health challenge, with an 82.1% increase in related fatalities from 1990 to 2019. In the United States alone, AAA complications resulted in an estimated 13,640 deaths between 2018 and 2021....

  • Article
  • Open Access

Carotid plaque classification based on ultrasound echogenicity and quantification of plaque burden are crucial in stroke risk assessment. In this work, we propose a framework that leverages the synergy between classification and segmentation by shari...

  • Article
  • Open Access

The anatomy and mechanical strength of aortic valve leaflets are critical determinants of their biomechanical behavior and long-term structural integrity. The embryonic developmental period, when valves are forming, is critical to establish baseline...

  • Article
  • Open Access

A Novel, Low-Cost, 3D-Printed Motorized Injector for Retinal Sheet Transplantation

  • Jerald Lim,
  • Francis Ung,
  • Samir Malhotra,
  • Jacob C. Diaz,
  • Austen Hamilton,
  • Clare Chen,
  • William C. Tang,
  • Magdalene J. Seiler and
  • Andrew W. Browne

Retinal transplantation offers promise for restoring vision in advanced retinal degeneration. However, manual delivery of retinal sheets is often hindered by imprecise placement and collateral tissue damage resulting from instrument instability. We i...

  • Article
  • Open Access

Immune checkpoint inhibitors (ICIs) targeting PD-1/PD-L1 and CTLA-4 are widely used in the treatment of several cancers and have significantly improved survival outcomes in responsive patients. However, a substantial proportion of patients fail to be...

  • Article
  • Open Access
36 Views
26 Pages

Operations Research for Pediatric Elective Surgery Planning: Example of a Mathematical Model

  • Martina Doneda,
  • Sara Costanzo,
  • Giuliana Carello,
  • Amulya Kumar Saxena and
  • Gloria Pelizzo

The management of operating rooms (ORs) is one of the most studied topics in operations research applied to healthcare. In particular, scheduling elective surgeries in a pediatric and teaching hospital can be a challenge because disruptions occur fre...

  • Article
  • Open Access
48 Views
13 Pages

Myocardial Injury During the Immediate Postoperative Period After Endovascular Aortic Repair: A Prospective Observational Study

  • Manolis Abatzis-Papadopoulos,
  • Konstantinos Tigkiropoulos,
  • Christina Antza,
  • Christina Alexou,
  • Anthi-Maria Lazaridi,
  • Katerina Sidiropoulou,
  • Kyriakos Stavridis,
  • Dimitrios Karamanos,
  • Vasilios Kotsis and
  • Nikolaos Saratzis
  • + 1 author

Background/Objectives: Several studies in the literature support that endovascular aortic repair (EVAR) could exert a harmful effect on heart function, causing myocardial injury. The aim of this study is to investigate the correlation of high-sensiti...

  • Article
  • Open Access
47 Views
15 Pages

Artificial Intelligence-Based Proximal Bone Shape Asymmetry Analysis and Clinical Correlation with Cartilage Relaxation Times and Functional Activity

  • Rafeek Thahakoya,
  • Rupsa Bhattacharjee,
  • Misung Han,
  • Felix Gerhard Gassert,
  • Johanna Luitjens,
  • Valentina Pedoia,
  • Richard B. Souza and
  • Sharmila Majumdar

The current study investigated proximal femur bone shape asymmetry and its associations with cartilage composition and functional performance in individuals with hip osteoarthritis (OA). Forty-seven participants with hip OA (mean age: 53.77 ±...

  • Article
  • Open Access
129 Views
13 Pages

Harmonic Ratio Analysis in Magnetic Particle Imaging Enables Differentiation of Malignant and Benign Human Breast Tissues: A Feasibility Study

  • Hongyu Yang,
  • Haoran Zhang,
  • Yiyin Zhang,
  • Yixiang Zhou,
  • Xinmiao Qu,
  • Xun Zhang,
  • Ke Li,
  • Hanfu Shi,
  • Hui Lin and
  • Zeyu Zhang
  • + 1 author

Accurate intraoperative differentiation between malignant and benign breast tissues, particularly the assessment of lymph node status and tumor margins, is critical for surgical decision-making and prognosis. Traditional histopathological methods, su...

  • Article
  • Open Access
159 Views
22 Pages

The Energy Potential, Environmental Impact, and Occupational Health and Safety Potential of Biogas Obtained from Filter Cake in Artisanal Panela Production

  • Reni Danilo Vinocunga-Pillajo,
  • Estela Guardado Yordi,
  • Josselyn Pico Poma,
  • Leidy Pico Poma,
  • Diego Sarabia Guevara,
  • Karel Diéguez-Santana and
  • Amaury Pérez Martínez

Filter cake (or cachaza), a residue generated in the artisanal production of panela, represents an under-explored source of renewable energy in the Ecuadorian Amazon. Valorizing filter cake could reduce the use of solid biomass and emissions associat...

  • Article
  • Open Access
85 Views
12 Pages

Background: Breast cancer diagnosis increasingly relies on ultrasound imaging, but challenges related to operator dependency and image quality limitations necessitate automated segmentation approaches. Traditional U-Net architectures, while widely us...

  • Article
  • Open Access
193 Views
25 Pages

Engineering Elite Swimming Start Performance: Key Kinetic and Kinematic Variables with Reference Values

  • Dennis-Peter Born,
  • Lina Nussbaumer,
  • Markus Buck,
  • Jesús J. Ruiz-Navarro and
  • Michael Romann

To provide deeper insights into the complex and multidimensional nature of swimming start performance, the present study aimed to determine its key performance indicators (KPIs) and provide percentile-based reference values for elite junior and adult...

  • Article
  • Open Access
98 Views
21 Pages

Glioblastoma (GBM) is the most common and aggressive primary brain tumor in adults, with a median overall survival of fewer than 15 months despite standard-of-care treatment. Accurate preoperative prognostication is essential for personalized treatme...

  • Article
  • Open Access
168 Views
24 Pages

X2P-Net: Context-Aware 2D/3D Vertebra Localization

  • Rong Tao,
  • Kangqing Ye,
  • Weijun Zhang,
  • Wenyuan Sun,
  • Derong Yu,
  • Donghua Hang and
  • Guoyan Zheng

In the context of minimally invasive spine surgery, accurately estimating the 3D coordinates of the vertebrae from intraoperative 2D X-ray images is crucial for aligning preoperative data with the patient’s real-time posture. However, existing...

  • Review
  • Open Access
143 Views
23 Pages

Contemporary Mechanical Support Devices for Temporary and Long-Term Applications

  • Sriharsha Talapaneni,
  • Sair Ahmad Tabraiz,
  • Meghna Khandelwal,
  • Shreya Avilala,
  • Shanzil Shafqat,
  • Sedem Dankwa,
  • Chanseo Lee and
  • Irbaz Hameed

Background: Mechanical circulatory support (MCS) has revolutionized advanced heart failure and cardiogenic shock management, yet randomized controlled trials have failed to demonstrate consistent mortality benefits with temporary devices, and outcome...

  • Systematic Review
  • Open Access
153 Views
42 Pages

A Systematic Review of Contrastive Learning in Medical AI: Foundations, Biomedical Modalities, and Future Directions

  • George Obaido,
  • Ibomoiye Domor Mienye,
  • Kehinde Aruleba,
  • Chidozie Williams Chukwu,
  • Ebenezer Esenogho and
  • Cameron Modisane

Medical artificial intelligence (AI) systems depend heavily on high-quality data representations to support accurate prediction, diagnosis, and clinical decision-making. However, the availability of large, well-annotated medical datasets is often con...

  • Article
  • Open Access
140 Views
12 Pages

The degradation of intervertebral disc proteoglycans, including the loss or shortening of their hydrophilic glycosaminoglycan chains, causes a loss of disc hydration, leading to an increase in solid matrix stresses. This illustrates one aspect of the...

  • Review
  • Open Access
192 Views
27 Pages

Nanoplatforms for Multimodal Imaging and Targeted Cancer Therapy: Recent Advances and Future Perspectives

  • Malairaj Sathuvan,
  • Karthikeyan Narayanan,
  • Kit-Leong Cheong and
  • Ramar Thangam

Recent advancements in nanotechnology have led to the development of multifunctional nanoplatforms that significantly enhance both cancer diagnosis and treatment. Gold-based nanoparticles, such as peptide-functionalized nanostructures and PEG-coated...

  • Article
  • Open Access
310 Views
21 Pages

Machine Learning-Based Estimation of Knee Joint Mechanics from Kinematic and Neuromuscular Inputs: A Proof-of-Concept Using the CAMS-Knee Datasets

  • Yara N. Derungs,
  • Martin Bertsch,
  • Kushal Malla,
  • Allan Maas,
  • Thomas M. Grupp,
  • Adam Trepczynski,
  • Philipp Damm and
  • Seyyed Hamed Hosseini Nasab

This study explores the feasibility of estimating tibiofemoral joint contact forces using deep learning models trained on in vivo biomechanical data. Leveraging the comprehensive CAMS-Knee datasets, we developed and evaluated two machine learning net...

  • Review
  • Open Access
207 Views
14 Pages

Cell movement is central to processes in biology, medicine, and environmental science. Microfluidic technologies have opened new possibilities for studying chemotaxis and motility by creating precise chemical gradients and realistic microenvironments...

  • Article
  • Open Access
339 Views
18 Pages

Radiomic Analysis as a Powerful Tool for Cytological Images of Benign Thyroid Nodules Treated by Thermal Radiofrequency Ablation

  • Alessia Finti,
  • Franco Marinozzi,
  • Michela Franzò,
  • Flavia Federici,
  • Matteo Bolognese,
  • Alessandro Giusti,
  • Andrea Leoncini and
  • Fabiano Bini

(1) Background: Thermal radiofrequency ablation (RFA) is an innovative treatment for benign thyroid nodules. This study aims to identify morphological and texture-based cytological parameters through radiomic and cytological analysis of fine-needle a...

  • Article
  • Open Access
316 Views
19 Pages

Deep Learning-Based Classification of Common Lung Sounds via Auto-Detected Respiratory Cycles

  • Mustafa Alptekin Engin,
  • Rukiye Uzun Arslan,
  • İrem Senyer Yapici,
  • Selim Aras and
  • Ali Gangal

Chronic respiratory diseases, the third leading cause of mortality on a global scale, can be diagnosed at an early stage through non-invasive auscultation. However, effective manual differentiation of lung sounds (LSs) requires not only sharp auditor...

  • Systematic Review
  • Open Access
248 Views
23 Pages

Scaffolds and Stem Cells Show Promise for TMJ Regeneration: A Systematic Review

  • Miljana Nedeljkovic,
  • Gvozden Rosic,
  • Dragica Selakovic,
  • Jovana Milanovic,
  • Aleksandra Arnaut,
  • Milica Vasiljevic,
  • Nemanja Jovicic,
  • Lidija Veljkovic,
  • Pavle Milanovic and
  • Momir Stevanovic

Temporomandibular joint (TMJ) disorders represent chronic degenerative musculoskeletal conditions with a high prevalence in the general population and limited regenerative treatment options. Owing to the insufficient efficacy of current conservative...

  • Article
  • Open Access
244 Views
16 Pages

Chronic In Vivo Biostability and Biocompatibility Evaluation of Polyether-Urethane-Based Balloon Implants for Cardiac Application in a Porcine Model

  • Min-Gi Kim,
  • Jae-Young Seo,
  • June-hong Kim,
  • Jin-Chang Kim,
  • Jun-Yong Park,
  • Hyun-A Song,
  • Kyeong-Deok Song and
  • Min-Ku Chon

Polyurethane-based implantable devices (PUIDs) delivered via catheter are increasingly used in structural heart interventions; however, limited in vivo data exist regarding their long-term biostability and biological safety. This study evaluated a ba...

  • Review
  • Open Access
362 Views
18 Pages

The growing number of wearable electrocardiogram (ECG) users today, combined with the surge of artificial intelligence (AI) and machine learning (ML) in medical signal-processing, has led to a new age of wearable-enabled monitoring for cardiac condit...

  • Article
  • Open Access
291 Views
18 Pages

Feasibility of Golden Angle Spiral Real-Time Phase Contrast MRI at 0.55T: A Single-Center Prospective Study

  • Salman Pervaiz,
  • Chong Chen,
  • Yingmin Liu,
  • Katherine Binzel,
  • Kelvin Chow,
  • Rizwan Ahmad,
  • Yuchi Han,
  • Orlando P. Simonetti,
  • Ning Jin and
  • Juliet Varghese

Background: Real-time phase-contrast magnetic resonance (RT-PCMR) imaging allows free-breathing assessment of blood flow across cardiac valves and vessels. However, the feasibility of free-breathing RT-PCMR on a mid-field (0.55T) MRI system has yet t...

  • Review
  • Open Access
342 Views
33 Pages

Smart Devices and Multimodal Systems for Mental Health Monitoring: From Theory to Application

  • Andreea Violeta Caragață,
  • Mihaela Hnatiuc,
  • Oana Geman,
  • Simona Halunga,
  • Adrian Tulbure and
  • Catalin J. Iov

Smart devices and multimodal biosignal systems, including electroencephalography (EEG/MEG), ECG-derived heart rate variability (HRV), and electromyography (EMG), increasingly supported by artificial intelligence (AI), are being explored to improve th...

  • Article
  • Open Access
259 Views
16 Pages

Proof-of-Concept of IMU-Based Detection of ICU-Relevant Agitation Motion Patterns in Healthy Volunteers

  • Ryuto Yokoyama,
  • Tatsuya Hayasaka,
  • Tomochika Harada,
  • Si’ao Huang,
  • Kenya Yarimizu,
  • Michio Yokoyama and
  • Kaneyuki Kawamae

Agitation-related movements in intensive care units (ICUs), such as unintended tube removal and bed exit attempts, pose significant risks to patient safety. The wearable inertial measurement units (IMUs) offer a potential means of capturing such move...

  • Article
  • Open Access
293 Views
20 Pages

Background: This study evaluated time-dependent changes in anchor hole width (AHW) and their association with postoperative medial meniscus extrusion (MME) in patients undergoing open-wedge high tibial osteotomy (OWHTO) with medial meniscus posterior...

  • Article
  • Open Access
246 Views
13 Pages

Convolutional neural networks (CNNs) have been the standard for computer vision tasks including applications in Alzheimer’s disease (AD). Recently, Vision Transformers (ViTs) have been introduced, which have emerged as a strong alternative to C...

  • Article
  • Open Access
239 Views
11 Pages

Glass ionomer-based restorative materials are widely used in pediatric dentistry because of their chemical adhesion to tooth structure, ion-releasing capacity, and clinical handling advantages; however, their mechanical durability under simulated ora...

  • Article
  • Open Access
255 Views
18 Pages

3D Medical Image Segmentation with 3D Modelling

  • Mária Ždímalová,
  • Kristína Boratková,
  • Viliam Sitár,
  • Ľudovít Sebö,
  • Viera Lehotská and
  • Michal Trnka

Background/Objectives: The segmentation of three-dimensional radiological images constitutes a fundamental task in medical image processing for isolating tumors from complex datasets in computed tomography or magnetic resonance imaging. Precise visua...

  • Review
  • Open Access
205 Views
35 Pages

Progress in the Expression, Purification, and Characterization of Recombinant Collagen

  • Youlin Deng,
  • Jiyao Kang,
  • Xiaoqun Duan,
  • Yingjun Kong,
  • Weiquan Xie,
  • Dongjie Lei,
  • Tingchun Wang and
  • Guifeng Zhang

Synthesized by expressing natural collagen sequences in specific hosts, recombinant collagen exhibits multiple advantages, encompassing a higher content of bioactive domains, enhanced antioxidant activity, the absence of viral pathogens, favorable hy...

  • Article
  • Open Access
255 Views
34 Pages

Integrated In Vitro, In Vivo, and In Silico Evaluation of Antioxidant, Anti-Inflammatory, Analgesic, and Anti-Arthritic Activities of Selected Marine Species

  • Md. Jahin Khandakar,
  • Ainun Nahar,
  • Md. Wahidul Alam,
  • Md. Jahirul Islam Mamun,
  • Abu Sayeed Muhammad Sharif,
  • Asef Raj,
  • Md. Enamul Hoque,
  • Israt Sultana Isha,
  • Nafisa Nawsheen and
  • Takashi Saito
  • + 3 authors

Marine ecosystems represent a largely untapped reservoir of bioactive compounds with significant pharmacological potential. This study aimed to evaluate the therapeutic properties of ethanol extracts from four marine species: Padina australis, Spatog...

  • Article
  • Open Access
396 Views
47 Pages

Background: Accurate and dependable brain tumor classification from magnetic resonance imaging (MRI) is essential for clinical decision support, yet remains challenging due to inter-dataset variability, heterogeneous tumor appearances, and limited ge...

  • Article
  • Open Access
272 Views
11 Pages

Clinical Outcomes of ICSI Using Advanced Quantitative Phase Microscopy

  • Roni Rahav-Koren,
  • Luba Nemerovsky,
  • Yehudith Ghetler,
  • Einat Haikin-Herzberger,
  • Liat Salzer-Sheelo,
  • Netanella Miller,
  • Amir Wiser and
  • Mattan Levi

This study evaluated the clinical outcomes associated with quantitative phase microscopy (QPM), an advanced 3D morphological sperm analysis technique using a virtual, stained model developed in our facility that indicates whether the inspected sperm...

  • Systematic Review
  • Open Access
281 Views
22 Pages

Purpose: In this systematic review, we compare the effectiveness of high-intensity laser therapy (HILT) and extracorporeal shockwave therapy (ESWT) in treating lateral elbow tendinopathy (LET). Methods: A comprehensive search of PubMed, the Cochrane...

  • Article
  • Open Access
150 Views
21 Pages

Watershed Encoder–Decoder Neural Network for Nuclei Segmentation of Breast Cancer Histology Images

  • Vincent Majanga,
  • Ernest Mnkandla,
  • Donatien Koulla Moulla,
  • Sree Thotempudi and
  • Attipoe David Sena

Recently, deep learning methods have seen major advancements and are preferred for medical image analysis. Clinically, deep learning techniques for cancer image analysis are among the main applications for early diagnosis, detection, and treatment. C...

  • Article
  • Open Access
172 Views
16 Pages

Simulation-Driven Annotation-Free Deep Learning for Automated Detection and Segmentation of Airway Mucus Plugs on Non-Contrast CT Images

  • Lucy Pu,
  • Naciye Sinem Gezer,
  • Tong Yu,
  • Zehavit Kirshenboim,
  • Emrah Duman,
  • Rajeev Dhupar and
  • Xin Meng

Mucus plugs are airway-obstructing accumulations of inspissated secretions frequently observed in obstructive lung diseases (OLDs), including chronic obstructive pulmonary disease (COPD), severe asthma, and cystic fibrosis. Their presence on chest CT...

  • Article
  • Open Access
316 Views
34 Pages

Neural Efficiency and Attentional Instability in Gaming Disorder: A Task-Based Occipital EEG and Machine Learning Study

  • Riaz Muhammad,
  • Ezekiel Edward Nettey-Oppong,
  • Muhammad Usman,
  • Saeed Ahmed Khan Abro,
  • Toufique Ahmed Soomro and
  • Ahmed Ali

Gaming Disorder (GD) is becoming more widely acknowledged as a behavioral addiction characterized by impaired control and functional impairment. While resting-state impairments are well understood, the neurophysiological dynamics during active gamepl...

  • Article
  • Open Access
209 Views
17 Pages

Similarity Gait Networks with XAI for Parkinson’s Disease Classification: A Pilot Study

  • Maria Giovanna Bianco,
  • Camilla Calomino,
  • Marianna Crasà,
  • Alessia Cristofaro,
  • Giulia Sgrò,
  • Fabiana Novellino,
  • Salvatore Andrea Pullano,
  • Syed Kamrul Islam,
  • Jolanda Buonocore and
  • Rita Nisticò
  • + 2 authors

Parkinson’s disease (PD) is characterized by alterations in movement dynamics that are difficult to quantify with conventional clinical assessment. This study proposes an integrated approach combining graph-based kinematic analysis with explain...

  • Article
  • Open Access
225 Views
23 Pages

The Effects of Ovine-Derived Reinforced Tissue Matrix Surrounding Silicone-Based Implants in a Rat Prepectoral Reconstruction Model

  • Sai L. Pinni,
  • Cameron Martin,
  • Nicholas Fadell,
  • Xiaochao Xia,
  • Evan Marsh,
  • Lauren Schellhardt,
  • Xiaowei Li,
  • Matthew D. Wood and
  • Justin M. Sacks

Silicone-based implants have been widely used in breast reconstruction but have also been associated with poorly understood complications, including pathologic foreign body responses such as capsular contracture. In this study, we leveraged 3D-printi...

  • Article
  • Open Access
195 Views
25 Pages

Generative Adversarial Networks (GANs) have emerged as powerful tools for medical image synthesis and clinical outcome prediction. In ophthalmology, accurate forecasting of Optical Coherence Tomography (OCT) images and best-corrected visual acuity (B...

  • Review
  • Open Access
375 Views
36 Pages

Harnessing the Therapeutic Potential of Extracellular Vesicles for Oral Wound Healing

  • Helly A. Patel,
  • Bianca Schmiliver,
  • Keerthi Priya Chinniyampalayam Sekar,
  • Mirelle Dogini,
  • Chidubem Onyeagoro,
  • Daniel C. Shah,
  • M. Hope Robinson,
  • Babatunde Giwa-Otusajo,
  • David T. Wu and
  • Steven L. Goudy

Oral wound healing is a robust process; however, complications from surgery, systemic diseases, and aging can impair healing. While some treatments exist, regenerative therapies to promote mucosal wound healing remain limited. In recent years, there...

  • Article
  • Open Access
194 Views
19 Pages

Background and Objective: Postoperative hospital length of stay (LOS) reflects surgical recovery and resource demand but remains difficult to predict due to heterogeneous perioperative trajectories. We aimed to develop and validate an interpretable m...

  • Review
  • Open Access
384 Views
45 Pages

Predicting Intrapartum Acidemia: A Review of Approaches Based on Fetal Heart Rate

  • Gabriele Varisco,
  • Giulio Steyde,
  • Elisabetta Peri,
  • Iris Hoogendoorn,
  • Maria G. Signorini,
  • Judith O. E. H. van Laar,
  • Massimo Mischi and
  • Marieke B. van der Hout-van der Jagt

Fetal acidemia, caused by impaired gas exchange between the fetus and the mother, is a leading cause of stillbirth and neurologic complications. Early prediction is therefore essential to guide timely clinical intervention. Several strategies rely on...

  • Review
  • Open Access
469 Views
27 Pages

Background: The rapid advancement in artificial intelligence (AI) has fundamentally reshaped gut microbiome research by enabling high-resolution analysis of complex, high-dimensional microbial communities and their functional interactions with the hu...

  • Article
  • Open Access
277 Views
17 Pages

The deltoid ligament (DL) is the primary stabilizer of the medial ankle; however, a limited understanding of the functional roles of its various bundles hinders rational surgical decision-making. This study aims to investigate the roles of individual...

  • Review
  • Open Access
388 Views
14 Pages

Next-Gen Restorative Materials to Revolutionise Smiles

  • John Yun Niu,
  • Kelsey Xingyun Ge,
  • Iris Xiaoxue Yin,
  • Olivia Lili Zhang,
  • Irene Shuping Zhao and
  • Chun Hung Chu

Recent breakthroughs in materials science have driven transformative advancements in restorative dentistry. Advanced dental materials, such as bioactive materials, nanocomposites, and fibre-reinforced composites, are attracting attention. Bioactive m...

  • Article
  • Open Access
270 Views
18 Pages

Radiosensitivity Prediction of Tumor Patient Based on Deep Fusion of Pathological Images and Genomics

  • Xuecheng Wu,
  • Ruifen Cao,
  • Zhiyong Tan,
  • Pijing Wei,
  • Yansen Su and
  • Chunhou Zheng

The radiosensitivity of cancer patients determines the efficacy of radiotherapy, and patients with low radiosensitivity cannot benefit from radiotherapy. Therefore, accurately predicting radiosensitivity before treatment is essential for personalized...

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Bioengineering - ISSN 2306-5354