Sports Medicine

Research on the evaluation and rehabilitation training system of upper limb motor function for poststroke patients based on artificial intelligence: a study protocol for a randomized controlled trial.

BACKGROUND: Stroke-induced upper limb dysfunction requires functional assessment and rehabilitation. The intelligent rehabilitation assessment and virtual reality training system for upper limb motor function in stroke can accurately and objectively assess patients' motor function and guide their rehabilitation training. Our study aims to verify the clinical efficacy of the virtual reality trainin...

Rapid prediction of antibiotic resistance in complex using whole-genome and metagenomic sequencing.

Clinical management and surveillance of the complex (ECC) face significant challenges due to inaccurate species identification and prolonged turnaround time for culture-based antimicrobial susceptibility testing (AST). To date, no studies have leveraged whole-genome sequencing (WGS) and metagenomic next-generation sequencing (mNGS) to develop a rapid AST prediction model for ECC. Here, a total of...

Current applications and outcomes of AI-driven adaptive learning systems in physical rehabilitation science education: A scoping review protocol.

Rationale Integrating artificial intelligence (AI) into education has introduced transformative possibilities, particularly through adaptive learning ...

Arthroscopy-validated diagnostic performance of sub-5-min deep learning super-resolution 3T knee MRI in children and adolescents.

OBJECTIVE: This study aims to determine the diagnostic performance of sub-5-min combined sixfold parallel imaging (PIx3)-simultaneous multislice (SMSx...

Tailoring Corynebacterium glutamicum for Sustainable Biomanufacturing: From Traditional to Cutting-Edge Technologies.

As the workhorse of industrial amino acid production, Corynebacterium glutamicum is the focus of this review, which provides a comprehensive overview ...

Comparison of Machine Learning Models in Predicting Mental Health Sequelae Following Concussion in Youth.

Youth who experience concussions may be at greater risk for subsequent mental health challenges, making early detection crucial for timely interventio...

Determining the Importance of Clinical Modalities for NeuroDegenerative Disorders and Risk of Patient Injury Using Machine Learning and Survival Analysis.

Falls among the elderly and especially those with NeuroDegenerative Disorders (NDD) reduces life expectancy. The purpose of this study is to explore t...

Robotic-assisted gait training for spinal cord injury neuropathic pain: A systematic review.

CONTEXT: Neuropathic pain (NP), can be a debilitating consequence of spinal cord injury. Robotic-assisted gait training (RAGT) is an effective rehabil...

Multimodal Wearable Sensing for Biomechanics and Biomolecules Enabled by the M-MPM/VCFs@Ag Interface with Machine Learning Pipeline.

The addition sensing device of sweat to wearable biostress sensors would eliminate the need for using multiple gadgets for healthcare analysis. Due to...

Multi-omics profiling of cross-resistance between ceftazidime-avibactam and meropenem identifies common and strain-specific mechanisms in clinical isolates.

is a highly versatile and resilient pathogen that can infect different tissues and rapidly develop resistance to multiple drugs. Ceftazidime-avibacta...

Unveiling the Mechanism of Negative Poisson's Ratio in Phosphorus-like 2D MX Materials Driven by Geometric and Electronic Structures.

Two-dimensional black-phosphorus-like materials with a re-entrant structure have been reported exhibiting positive or negative Poisson's ratio (NPR). ...

Machine learning models for predicting severe acute kidney injury in patients with sepsis-induced myocardial injury.

Severe acute kidney injury (sAKI) is a prevalent and serious complication among patients with sepsis-induced myocardial injury (SIMI). Prompt and earl...

Phage Ge15, NRG-P0073: Genomic Characterization and Host Range Analysis Against the ECOR Reference Library.

BACKGROUND: Genomic sequencing and annotation, morphological characterization, and host range analyses of bacteriophage (phage) isolates are crucial t...

Development and validation of a risk prediction model for kinesiophobia in postoperative lung cancer patients: an interpretable machine learning algorithm study.

Kinesiophobia is particularly common in postoperative lung cancer patients, which causes patients may be reluctant to cough and move due to mispercept...

Ground-truth-free deep learning approach for accelerated quantitative parameter mapping with memory efficient learning.

Quantitative MRI (qMRI) requires the acquisition of multiple images with parameter changes, resulting in longer measurement times than conventional im...

A cocktail hydrogel promoting the functional interneurons regeneration of human neural progenitor cells for brain injury therapy.

INTRODUCTION: Traumatic Brain Injury (TBI) usually leads to substantial mortality and disability among adult populations. Neural progenitor cells (NPC...

Machine-learning-informed scattering correlation analysis of sheared colloids.

We have carried out theoretical analysis, Monte Carlo simulations and machine-learning analysis to quantify microscopic rearrangements of dilute dispe...

Subclinical atrial fibrillation prediction based on deep learning and strain analysis using echocardiography.

Subclinical atrial fibrillation (SCAF), also known as atrial high-rate episodes (AHREs), refers to asymptomatic heart rate elevations associated with ...

The Effects of Robot-Assisted Therapy on Upper Extremity Functions and Functional Independence in Geriatric Individuals With Chronic Stroke: A Randomized Controlled Study.

AimStroke often leads to impaired motor functions, particularly in upper extremities, making functional recovery essential for quality of life and ind...

Asymmetric Braided Artificial Muscles with Precise Electrothermal Actuation Control Enabled by Deep Learning.

Liquid crystal elastomers show promise for artificial muscles, but challenges remain in achieving excellent actuation performance and controllability ...