Sports Medicine

Optimization of mechanical performance in bioinspired FDM-printed PLA sandwich structures using machine learning.

Despite some successes and claims of the best possible mechanical performance in 3D printed parts, it is essential that intelligent design approaches be linked to intelligent process control. In this paper, an integrated experimental-machine learning methodology is presented to optimize the polylactic acid (PLA) sandwich structures that has bio-inspired internal cores. They are made using Fused de...

ML-based electromyography signal analysis for assessing rehabilitation exercise execution quality.

Following lower limb trauma, performing orthopaedic rehabilitation exercises is a crucial factor in successful recovery. However, many patients find it difficult to execute these movements with optimal biomechanical form. To address this problem, an electromyography-based sensor system combined with machine learning is proposed. This system records and analyses exercises performed with the aim of ...

Lung ultrasound feature tracking to quantify regional lung strain in mechanically ventilated pigs.

BACKGROUND: In patients requiring respiratory support, clinicians rely on physical exam, radiologic, laboratory, and ventilator-derived measures for t...

Microbially driven microplastic degradation: From mining functional microbiota to enhancing remediation potential in diverse environments.

Microplastic (MPs) pollution poses a global threat to ecosystems and human health. Traditional physicochemical methods face limitations like high cost...

From Cardioprotection to Trial Design: Rethinking Cardiac Safety in Oncology.

PURPOSE OF REVIEW: Cardio-oncology has emerged as a pivotal discipline aimed at preserving cardiovascular health in patients undergoing contemporary c...

Post-stroke rehabilitation in inflammatory rheumatic diseases: outcome measures, digital tools, and patient education perspectives.

Inflammatory rheumatic diseases (IRDs) represent a significant risk factor for cerebrovascular events, independent of traditional cardiovascular risk ...

Machine learning phenotypes and heterogeneous albumin effects in cirrhotic AKI: a causal inference study.

Current guidelines recommend albumin infusion as a first-line treatment for acute kidney injury (AKI) in patients with cirrhosis. However, recent larg...

The impact of non-functioning traffic signals on pedestrian injury severity: evidence from a nationwide interpretable machine-learning study (Poland, 2015-2024).

Pedestrians face disproportionate injury risk in traffic. Using nationwide SEWIK police records (2015-2024), I model five-level pedestrian injury seve...

Radiomics for the Detection and Prediction of Cancer Therapy-Related Cardiotoxicity.

Modern cancer therapies have improved survival but unmasked the growing challenge of cancer therapy-related cardiotoxicity, a leading cause of morbidi...

TCEP Induces Liver Injury Through Suppression of the PI3K/AKT Axis: Integrated Evidence from Epidemiology, Network Toxicology, and In Vivo Validation.

Tris(2-chloroethyl) phosphate (TCEP) is a widely used chlorinated organophosphate flame retardant, but its role in liver injury remains unclear. In th...

Predictive analytics and risk stratification models in internal medicine: from risk scores to real-time machine learning.

Internal medicine involves high-stakes, time-sensitive decisions (such as triaging acute illnesses, escalating care, providing thromboprophylaxis, pla...

Impact of feature engineering on predicting non-contact football injuries.

Non-contact injuries in professional football impose significant performance and economic burdens, yet the influence of workload feature representatio...

Inpatient Robotic Therapy for Stroke Survivors With Severe Upper Limb Impairments: A Randomized Controlled Trial.

IMPORTANCE: Understanding how upper extremity (UE) robotic therapy (RT) affects efficiency and effectiveness of inpatient rehabilitation is important ...

An Explainable Machine Learning Model for Early Prediction of Incident Myocardial Injury in Patients With Severe Fever With Thrombocytopenia Syndrome.

This study aimed to develop an explainable machine learning-based model to enable early prediction of incident myocardial injury during hospitalizatio...

Artificial Intelligence in Physical Therapy: A Narrative Review of Artificial Intelligence Applications Across the Patient and Client Management Model.

BACKGROUND AND AIMS: Artificial intelligence (AI) is rapidly transforming healthcare and has increasing relevance for physical therapy practice. This ...

Elucidating the mechanism of taurine in alleviating osteoarthritis progression based on bioinformatics, machine learning algorithm, and experimental validation.

BACKGROUND: Ferroptosis, a form of regulated cell death driven by iron-dependent lipid peroxidation, plays a pivotal role in chondrocyte death and the...

Global Landscape and Translational Trajectories of Pelvic Floor Muscle Rehabilitation for Urinary Incontinence.

INTRODUCTION AND HYPOTHESIS: Urinary incontinence (UI) is a highly prevalent condition worldwide, with stress urinary incontinence (SUI) and overactiv...

Characterization and determination of the immunomodulatory activity of intestinal microbiota microorganisms isolated from free-range Cornu aspersum snails in olive groves before and after aestivation.

The present study investigated the impact of aestivation of free-range snails on the intestinal microbiota and its potential to protect the host from ...

Rapid delineation of Acinetobacter baumannii dose responses to zosurabalpin based on machine learning-assisted interpretation of bacterial nanomotions.

UNLABELLED: Carbapenem-resistant Acinetobacter baumannii (CRAB) represents a major clinical threat, underscoring the urgent need for both new antibiot...

Artificial intelligence (AI)-assisted full-course case management for primary liver cancer: System design, preliminary implementation, and practical considerations.

Primary liver cancer presents substantial management challenges across the surgical trajectory, including high recurrence rates, prolonged rehabilitat...