Sports Medicine

Molecular Biomarkers and Risk Prediction Models for Acute Kidney Injury Following Liver Transplantation: A Review.

Liver transplantation is the definitive treatment for end-stage liver disease; however, postoperative acute kidney injury (AKI) affects 30%-70% of recipients and significantly worsens prognosis. The pathogenesis involves insufficient preoperative hepatorenal reserve, intraoperative hemodynamic instability, and immunosuppressant nephrotoxicity. Despite the evolution of diagnostic criteria from RIFL...

Enhanced cortical connectivity during passive robotic-assisted gait training in individuals with spinal cord injury: An EEG study.

BACKGROUND: Robotic-assisted gait training (RAGT) has emerged as a promising strategy to promote neuroplasticity and motor recovery in individuals with spinal cord injury (SCI). This study investigates cortical connectivity during passive robotic gait compared with standing, hypothesizing greater sensor-level network connectivity during gait than during standing. METHODS: Twenty-three individuals ...

Improving detection of Listeria monocytogenes in Queso fresco using generative adversarial network (GAN) augmented NIR spectral analysis.

Rapid, non-destructive detection of Listeria monocytogenes (LM) in fresh cheeses is necessary for ensuring food safety, especially in high-risk produc...

Drawn-on-skin electronic tattoo as a closed-loop sensing-stimulation system for the muscles.

Simultaneous electromyography (EMG) sensing and closed-loop electrical stimulation (ES) could enable interactive muscle training, motor rehabilitation...

Imaging in the diagnosis and characterization of tennis leg.

Tennis leg is a common cause of acute posteromedial calf pain and encompasses a spectrum of injuries involving the posterior calf. Although initially ...

Integrated multi-omics and machine learning identify Casp8 and Pycard as central regulators of pyroptosis and necroptosis in spinal cord injury.

Programmed cell death pathways exacerbate secondary damage after spinal cord injury, yet their shared regulators and tractable therapeutic points rema...

Geometry-engineered hourglass-shaped cracks enable wide-linearity wearable strain sensors.

Flexible and stretchable strain sensors have attracted growing interest for applications in health monitoring and human-machine interfaces. Convention...

Generative artificial intelligence-driven chatbots and medical misinformation: an accuracy, referencing and readability audit.

OBJECTIVES: Artificial intelligence (AI)-driven chatbots have been rapidly adopted across research, education, business, marketing and medicine. Most ...

Nephrology: What You May Have Missed in 2025.

This article highlights some important nephrology studies published in 2025 that are relevant for many nonnephrologist physicians. Two studies examine...

Mapping AI startup investment and innovation in healthcare using a five-tier AI systems complexity framework.

Artificial Intelligence (AI) is reshaping healthcare through advances in diagnostics, treatment, and operations, yet the startup ecosystem driving thi...

Hypotension Prediction Index-Guided Hemodynamic Management on Postoperative Organ Outcome: A Systematic Review and Meta-Analysis of Randomized Clinical Trials.

Intraoperative hypotension (IOH) is a frequent occurrence during noncardiac surgery. Hypotensive episodes can compromise tissue perfusion, and cumulat...

Fair enough? How developers and clinicians justify who receives physical assistive robotics in rehabilitation.

BACKGROUND: Physical assistive robots are increasingly promoted in rehabilitation. However, it remains unclear how and for whom, physical assistive ro...

The multi-target cardiac protection mechanism of butylphthalide and AI-driven precision medicine: From molecular basis to clinical translation.

Butylphthalide (NBP) is a lipophilic small-molecule drug characterized by its multi-target and multi-pathway regulatory properties. Initially employed...

Wheelchair movement signal classification from EEG for motor-impaired individuals using novel deep learning architecture.

Purpose: Traditional wheelchair controls often limit independence and pose safety risks for motor-impaired users. To address these challenges, this st...

Neuroplasticity after Stroke: Adaptive and Maladaptive Mechanisms in Evidence-Based Rehabilitation.

BACKGROUND AND PURPOSE: Ischemic stroke remains a leading cause of long-term disability and persistent motor deficits. While neuroplasticity drives po...

Feasibility Randomized Controlled Trial of Real-Time fMRI Neurofeedback for Reading Rehabilitation in Aphasia.

BACKGROUND: Reading impairments are common in stroke-induced aphasia and limit participation in functional and leisure activities. Traditional rehabil...

A machine-learning-based tool for stroke risk prediction in blunt cerebrovascular injury: development and preliminary evaluation.

PURPOSE: Stroke risk correlates with the Biffl grading system in blunt cerebrovascular injury (BCVI). Although anti-thrombotic therapy is the mainstay...

Advanced machine learning-guided optimization platform for high-yield soluble expression of Pseudomonas aeruginosa exotoxin A in engineered Escherichia coli strains.

BACKGROUND: The recombinant production of Pseudomonas aeruginosa exotoxin A (ETA), a critical component for immunotoxin development, remains hindered ...

Machine learning applied to echocardiographic deformation curves for prediction of heart failure and cardiovascular death.

BACKGROUND: Many patterns from the entire strain and TDI curves remain uninvestigated. OBJECTIVES: We investigated whether applying signal analysis wi...

Ischaemia in tuberculous meningitis: update on pathophysiology, clinical predictors and management.

PURPOSE OF REVIEW: Tuberculous meningitis (TBM) is a severe manifestation of Mycobacterium tuberculosis infection, associated with high mortality and ...