Sports Medicine

Parametrically upscaled model-based predictive platform for fatigue with location-specific microstructural linkages.

Fatigue in metallic materials is a cost-intensive engineering challenge due to unpredictable occurrences when undergoing cyclic loading. Particularly vulnerable is dwell fatigue, where the hold time significantly reduces life. The unpredictability is attributed to microstructure-dependent crack nucleation (a significant portion of life) in polycrystalline microstructures with evolving mechanisms. ...

Artificial intelligence and wearable sensors in sports injury risk prediction: current status and future perspectives.

BACKGROUND: Artificial intelligence (AI) and wearable sensors are increasingly reshaping sports injury risk prediction by enabling continuous, individualized, and data-driven assessment. DISCUSSION: This review summarizes recent advances in wearable technologies - including inertial measurement units (IMUs), electromyography (EMG), physiological monitors, and flexible electronics - and their use i...

Deep learning-based non-contrast cine CMR for optimized prediction of left ventricular adverse remodeling after ST-elevation myocardial infarction.

OBJECTIVES: To evaluate the feasibility of a non-contrast cardiac magnetic resonance (CMR)-based deep learning (DL) model for predicting left ventricu...

Laboratory Medicine Approaches for Assessing Delayed Graft Function in Renal Transplant.

BACKGROUND: Delayed graft function (DGF) remains a significant complication in renal transplantation, adversely affecting graft survival, patient qual...

Gut microbiome and metabolic health: mechanisms and precision interventions.

The gut microbiome is increasingly recognized as a fundamental regulator of metabolic health, shaping energy balance, insulin sensitivity, inflammator...

Polyhydroxyalkanoates production by yeasts - Still possible?

Synthetic polymers have become ubiquitous in modern life due to their versatility, durability and low production costs, leading to a significant incre...

Advances in fungal ergothioneine: from biosynthesis to AI-driven industrial biomanufacturing.

Ergothioneine (EGT), a potent natural antioxidant from edible fungi, is highly valued for its antioxidant, anti-inflammatory, and cytoprotective effec...

Computational modeling of antiferroelectrics: Fundamental mechanisms and predictive design.

Antiferroelectric materials, characterized by their unique antipolar ordering and field‑induced phase transitions, exhibit outstanding performance in ...

Evolving role of biomarkers in spinal cord injury: From research to clinical translation.

Spinal cord injury (SCI) triggers a complex cascade of cellular and molecular events at the lesion site, driving progressive degeneration of the spina...

Patient specific optimization and planning of vertebral augmentation in osteoporosis: Finite element and Artificial Intelligence approaches.

BACKGROUND: Osteoporotic Vertebral Compression Fractures (OVCFs) are responsible for significant disability, especially among individuals with low Bon...

Circulating Neutrophils Exhibit an Altered Immune Response in Chronic LUTS: An Image-Based Deep Learning Analysis.

INTRODUCTION AND HYPOTHESIS: Chronic lower urinary tract symptoms (LUTS) are characterised by persistent symptoms and elevated urinary leukocyte count...

Tracheostomy weaning in patients with severe acquired brain injury: External validation of machine learning models.

BACKGROUND AND OBJECTIVE: Our primary aim was to externally validate previously developed machine-learning (ML) models for predicting the probability ...

Evaluation of Brain Age on Magnetic Resonance Imaging Using Machine Learning Techniques in Patients With Hearing Loss.

OBJECTIVES: Hearing impairment is strongly linked to cognitive decline, with individuals having mild-to-severe hearing loss estimated as having a twof...

Early Predictors of Long-Term Outcomes in Pediatric "Mild" Traumatic Brain Injury: A Machine Learning Approach.

While most children recover from pediatric "mild" traumatic brain injury (pmTBI), up to one-third experience persisting symptoms after concussion (PSa...

Advances in HLA and Non-HLA Immune Profiling: Integrating Next-Generation Sequencing and Artificial Intelligence in Transplantation.

Understanding transplantation outcomes requires an integrated view of immunological, genetic, and clinical determinants that collectively shape graft ...

Fractional-order differential model for knee implant recovery in smart health infrastructures.

Recovery from knee replacement surgery in conventional orthopaedic healthcare systems can be delayed due to high costs, pain, limited monitoring, and ...

Artificial intelligence in cancer survivorship: evaluating ChatGPT's performance in rehabilitation-related queries.

PURPOSE: This study aimed to evaluate the performance of ChatGPT in responding to patient-centered queries related to cancer rehabilitation. It examin...

Machine Learning-Based Pattern Recognition of Risk Factors for Low Back Pain among Adolescent Cricket Players in Dhaka City.

Low back pain (LBP) is common among adolescent cricketers, often due to repetitive lumbar stress. This study investigated LBP among 450 adolescent cri...

Ultra-Robust and Hyperelastic Triboelectric Webbing for Self-Powered Rehabilitation Sensing with Invisible and Embedded Design.

Driven by the rapid evolution of flexible electronics, rehabilitation healthcare is shifting toward devices that seamlessly interface with human body....

An ensemble pipeline, PhageHost, for phage tail fiber discovery and accurate Klebsiella pneumoniae host prediction using protein language models.

The high specificity of phages toward their hosts holds great promise for phage therapy while posing a challenge to computational prediction approache...