Sports Medicine

From oxidative stress to epigenetic regulation: Molecular mechanisms of preterm brain injury and neuroprotective strategies (Review).

Preterm brain injury remains a leading cause of long‑term neurodevelopmental impairment despite advances in neonatal care. Oxidative stress (OS), arising from mitochondrial dysfunction, nicotinamide adenine dinucleotide phosphate oxidase activation and iron‑mediated Fenton reactions, selectively damages the developing brain because of immature antioxidant defenses and vulnerable oligodendrocyte pr...

AI-enabled engineering of hesperidin/ursodeoxycholic acid nanomedicine for synergistic treatment of drug-induced liver injury.

Drug-induced liver injury (DILI) is a complex and intractable disease because existing anti-oxidate therapies in clinic fail to modulate multiple pathological pathways concurrently. Here, we present a direction-aware framework that integrates disease-network analysis, AI-guided molecular screening, and self-assembled nanomedicine design for precise protection of DILI. Time-resolved transcriptomic ...

The safety risks of roadside trees: An analysis of injury outcomes in vehicle-tree collisions.

Roadside trees represent the most frequently struck fixed object in fatal crashes in the United States and constitute a substantial safety concern, pa...

Machine Learning-Based Subtype Classification of Sepsis-Associated Acute Kidney Injury and Differential Responses to Renal Replacement Therapy.

BackgroundSepsis-associated acute kidney injury (SA-AKI) is highly heterogeneous with controversial optimal renal replacement therapy (RRT) strategies...

The Challenges of Predicting Rare Outcomes: A Critical Appraisal of Machine Learning Using the Pediatric Resuscitation and Trauma Outcome (PRESTO) Model in a Tanzanian Injury Registry.

BACKGROUND: Injuries are responsible for 950,000 deaths per year among children and adolescents under 18 years old. Trauma prediction scores are usefu...

Artificial intelligence in physical and rehabilitation medicine: first update of the living systematic mapping review up to May 31st, 2025.

BACKGROUND: Artificial intelligence is increasingly applied to rehabilitation; however, persisting gaps in research, such as methodological heterogene...

Integrating Target Prediction and Transcriptomic Analysis Identifies the AKR1C2-KRT8 Axis in Rotenone-Induced Dopaminergic Neuron Injury.

Parkinson's disease (PD) is a complex neurodegenerative disorder in which environmental toxins play a critical etiological role. Rotenone, a classical...

Humanoid Colleagues and the Rheumatology Workforce: Preparing for a New Era.

Rheumatology faces sustained workforce strain, widening access gaps, and escalating administrative burden. Fellowship expansion and integration of adv...

Unsupervised Ensemble Learning for Active Drug-Induced Liver Injury Surveillance: Integrating Pharmacokinetic Burden With Enzyme Trajectories.

PURPOSE: Traditional drug-induced liver injury (DILI) surveillance relying on static laboratory thresholds frequently misses early kinetic evolution. ...

The Digital Transformation of Rehabilitation Medicine: A Narrative Review of Artificial Intelligence Innovations, Clinical Integration, and Future Paradigms.

BACKGROUND: Traditional rehabilitation medicine, primarily dependent on qualitative clinical assessment and static therapeutic protocols, faces signif...

Effect of a Machine Learning Algorithm to Guide Goal-Directed Therapy After Cardiac Surgery.

BACKGROUND: Goal-directed therapy allows clinicians to optimize perfusion and volume status in patients postoperatively. OBJECTIVE: To evaluate the ef...

An Interpretable Machine Learning Approach to Ecologically Characterize Soil Carbon and Structure From Multi-Kingdom Microbiome, Texture and Climate.

Soil physical structure is a critical determinant of agricultural landscape resilience, yet standard pedotransfer functions estimate soil hydraulic an...

Artificial Intelligence in Xenotransplantation: A Prioritized Roadmap for Early Clinical Translation, Opportunities and Challenges.

Xenotransplantation represents a potential solution to the persistent global organ shortage, yet its clinical application remains stalled by complex i...

Can LLMs reliably perform epidemiological extraction in elite football?

Anterior cruciate ligament (ACL) injuries remain a critical burden in professional football, resulting in prolonged absence and high economic costs. W...

Arthroscopic Images Predict Tendon Integrity After Arthroscopic Rotator Cuff Repair Using a Deep Learning Model.

PURPOSE: To assess the feasibility of a deep learning model for predicting early structural integrity after arthroscopic rotator cuff repair (ARCR) us...

Operational AI Adoption in U.S. Inpatient Rehabilitation Facilities: Organizational Selection and Domain Heterogeneity, 2021-2024.

OBJECTIVE: To examine Inpatient Rehabilitation Facilities, market, and regional characteristics associated with operational AI adoption across three f...

Local bandgap and optoelectronic measurement using monochromated STEM-VEELS: fundamentals, challenges, and recent advances.

Optoelectronic characterization of local bandgap, dielectric response, and plasmon at the nanometer scale has become increasingly important for unders...

Sodium Danshensu Attenuates Renal Ischemia-Reperfusion Injury by Suppressing STAT3-Driven Cytokine Signaling and Apoptosis.

OBJECTIVE: To evaluate the renoprotective effects and underlying molecular mechanisms of sodium danshensu (SDSS) in renal ischemia-reperfusion (RIR) i...

Myocardial Fibrosis in Pediatric Heart Disease: Mechanisms, Imaging Biomarkers, Clinical Consequences, and Emerging Antifibrotic Therapies.

Myocardial fibrosis is increasingly recognized as a central determinant of adverse cardiac remodeling and long-term cardiovascular outcomes in childre...

Unveiling the immuno-inflammatory endotype of sepsis-associated acute kidney injury: a machine learning-based approach.

BACKGROUND: Sepsis-associated acute kidney injury (SA-AKI) is a frequent and high-mortality complication in critically ill patients. Current diagnosti...