Sports Medicine

[Value of a deep learning-based visual model for predicting postoperative upper limb functional recovery after severe acute cervical spinal cord injury].

Objective: To assess the value of a deep learning-based visual model for predicting postoperative upper limb functional recovery after severe acute cervical spinal cord injury. Methods: A retrospective study was conducted involving 162 patients with severe acute cervical spinal cord injury treated at the First Affiliated Hospital of Nanjing Medical University between 2020 and 2025. The Upper Extre...

Machine Learning for Evaluating the Heterogeneous Effects of Intensive In-Hospital Rehabilitation During the Postacute Phase After Hip Fracture Surgery on Activities of Daily Living.

BACKGROUND: It remains unclear which patient subgroups benefit most from intensive rehabilitation therapy. OBJECTIVES: This study aimed to examine the heterogeneity in the effects of intensive postacute rehabilitation after hip fracture surgery on activities of daily living and to identify its potential sources. RESEARCH DESIGN: A retrospective observational study. SUBJECTS: Patients aged 50 years...

Comparative Outcomes of a Pediatric Walking Rehabilitation Robot Combined With Repetitive Transcranial Magnetic Stimulation in Children With Spastic Cerebral Palsy: Protocol for a Prospective Observational Study.

BACKGROUND: Cerebral palsy (CP) is a prevalent neurodevelopmental disorder in children, often leading to long-term motor impairments. Rehabilitation r...

Integrating Machine Learning and Pharmacology Reveals NF-κB-Mediated Inflammatory Regulation by Shuanghuanglian Injection in Acute Lung Injury.

ETHNOPHARMACOLOGICAL RELEVANCE: Shuanghuanglian Injection (SHLI) is a traditional Chinese medicine formulation derived from Lonicerae Japonicae Flos, ...

Effects of Telerehabilitation Based on Motion Recognition Technology on Exercise Endurance of Patients With Non-Small Cell Lung Cancer After Surgery: Single-Center, Prospective, Open-Label, Randomized Controlled Trial.

BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for approximately 85% of primary pulmonary neoplasms. Complete surgical removal remains the co...

Deep learning-based effusion-synovitis volume measured on MRI is associated with osteoarthritis progression: A longitudinal analysis of data from the osteoarthritis initiative.

OBJECTIVE: To investigate whether the 48-month change in effusion-synovitis volume (ΔESV) is associated with concurrent knee osteoarthritis progressio...

Integrative machine learning and experimental validation reveal the molecular mechanisms of 2-bromo-4,6-dinitroaniline nephrotoxicity: CD45 and cyclophilin C as early response biomarkers of renal tubular injury.

2-Bromo-4,6-dinitroaniline (BDNA), a synthetic intermediate of brominated azo dyes, poses potential nephrotoxicity risks; however, its early molecular...

TACE-induced liver injury in hepatocellular carcinoma: mechanisms, prediction, and prevention in the era of gut microbiota and inflammasome research.

Transarterial chemoembolization (TACE) is a cornerstone locoregional therapy for hepatocellular carcinoma (HCC), yet most candidates also have cirrhos...

The natural isoflavone puerarin mitigates cerebral ischemia-reperfusion injury by directly targeting CaMKⅡδ to block DLG4-Ser654 phosphorylation.

BACKGROUND: Synaptic collapse drives severe neurological deficits following cerebral ischemia-reperfusion (I/R) injury. Puerarin, a bioactive isoflavo...

Deep Learning Assisted Heteroporous Covalent Organic Framework Hydrogels Enable Dual-Mode Tracking and Analysis to Parkinson's Management.

Resting tremor and dopamine dysregulation are closely linked in the pathophysiology of Parkinson's disease (PD), yet detecting their subtle early mani...

NOX4 promotes cardiomyocyte ferroptosis-related injury in septic cardiomyopathy in associated with mitochondrial dysfunction and impaired NRF2 nuclear translocation.

Septic cardiomyopathy is a common early complication of sepsis, and its underlying mechanisms remain incompletely understood. In this study, we integr...

An Upper-Limb Motor Imagery EEG Dataset of Chronic Stroke Patients.

Motor imagery (MI)-based brain-computer interface (BCI) systems offer a promising approach for post-stroke motor rehabilitation. However, their clinic...

Loofah Fiber-Reinforced Eutectogel for Motion-Robust and High-Fidelity Surface Electromyography.

Reliable acquisition of surface electromyography (sEMG) during dynamic motion is essential for high‑accuracy movement recognition, yet remains challen...

Rehabilitation technologies perceived positively by patients and facilitated intensive therapy within sessions.

BACKGROUND: Australian inpatient rehabilitation facilities are increasingly integrating rehabilitation technologies to support patient recovery. Howev...

Microfluidic-electrochemical sweat patches for athletes: monitoring lactate, electrolytes, and hydration status.

Wearable biochemical sensing is shifting sports physiology from intermittent laboratory sampling toward continuous, in situ readouts during training a...

The evolving landscape of acute kidney injury: research directions and changes in clinical practice.

Acute kidney injury (AKI) is a common and serious disease, needing a comprehensive and management-based approach. While traditional practice focused o...

Delta radiomics for predicting early radiation-induced lung injury after thoracic radiotherapy: a retrospective paired-CT study.

PURPOSE: Early radiation-induced lung injury remains a clinically relevant complication after thoracic radiotherapy. We compared pretreatment, posttre...

Integrative Bioinformatics and Experimental Validation Identify LOX as a Glycolysis-Related Biomarker in Myocardial Ischemia-Reperfusion Injury.

Reprogramming of glycolytic metabolism plays a critical role in the pathogenesis of myocardial ischemia-reperfusion injury (MIRI). Although transient ...

Investigating the feasibility and acceptability of the TeleRehabilitation of balance clinical and economic Decision Support System (TeleRehaB DSS) in adults at risk of falls: study protocol for a multicentre clinical trial.

INTRODUCTION: Falls are a significant concern for older adults, particularly those with neurological, vestibular, cognitive and post-viral conditions,...

Exploring the causal effects of hazardous driving behaviors on pedestrian-vehicle crash injury severity based on causal machine learning.

Pedestrians usually sustain more severe injuries in traffic crashes due to the lack of protection. Although previous studies have analyzed crash-influ...