Exercise & Fitness

A dual-band radio-frequency biosensing platform with physics-informed deep learning for simultaneous sweat pH and lactate monitoring.

Continuous monitoring of sweat pH and lactate is of great value for physiological assessment, yet existing sensors face two critical bottlenecks: prolonged response times that hinder real-time tracking, and signal decoding relying on simple linear calibration that fails to handle nonlinearities and dynamic hysteresis. Here, we report a synergistic "RF-materials-AI" dual-band biosensing platform in...

Deep mutational scanning of SARS-CoV-2 nucleocapsid reveals regional stability patterns.

Point mutations within the SARS-CoV-2 nucleocapsid protein (NP) have the potential to impact not only detection but the viral life cycle, and therefore pathogenicity. Leveraging deep mutational scanning (DMS) we determine the effect of 7876 (98.9%) of all possible point mutations on NP surface expression as a proxy for stability, which we term surface-expression-based folding fitness (SEBFF). We s...

Machine Learning-Based Risk Stratification Model to Guide Cardiopulmonary Exercise Training in Cardiovascular Patients.

PURPOSE: In cardiovascular patients, precise risk stratification is crucial for minimizing exercise-related risks and optimizing treatment efficacy du...

Meeting the 24-Hour Movement Guidelines and Frailty Risk: Evidence From Two Nationally Representative Population Studies and Machine-Learning Models.

AIM: This study aimed to examine the association between meeting the 24-Hour Movement Guideline components-moderate-to-vigorous physical activity (MVP...

Machine Learning Frameworks for Wearable-Based Stress Modeling in Naturalistic Settings: Scoping Review.

BACKGROUND: Stress, as commonly recognized, is an integral part of modern life and can significantly affect both mental and physical health. While sub...

Three-class obstructive sleep apnea severity assessment: a parallel AHI and ODI explainable artificial intelligence framework using craniofacial-enriched clinical data.

BACKGROUND: Machine learning models for Obstructive Sleep Apnea (OSA) diagnosis have largely inherited some structural limitations: reliance on generi...

A Generative Neuro-Symbolic AI for Protein Sequence Design.

Deep learning has revolutionized computational protein design, enabling the generation of sequences that fold onto target backbones with unprecedented...

Cardiovascular risks of plastic-associated chemicals: Integrating mixture modeling and SHAP-explained machine learning to unravel linear and non-linear associations.

INTRODUCTION: Plastic-associated chemicals (PACs) are widely detected environmental contaminants, yet their cardiovascular relevance in the context of...

Agreement between markerless and marker-based motion capture for knee kinematics and kinetics during functional activities in knee osteoarthritis.

OBJECTIVE: To assess the agreement between markerless and marker-based motion capture for measuring knee kinematics and kinetics during functional act...

Predicting Human Metabolic Rate Based on Multiple Physiological Parameters: A Pilot Study.

UNLABELLED: Accurate prediction of human metabolic rate is essential for thermal comfort evaluation. However, traditional static lookup table methods ...

BMI-based prediction models for short-term and long-term mortality following coronary artery bypass grafting using the MIMIC-IV database: a retrospective cohort study.

OBJECTIVE: This study aims to evaluate the relationship between obesity (measured by Body Mass Index (BMI)) and postoperative mortality in patients un...

Identifying cluster profiles based on barriers and facilitators to physical activity during COVID-19 confinement: A cross-sectional study using machine learning analysis.

Social restrictions, such as confinement periods, tend to reduce physical activity (PA) levels. However, sociodemographic factors may influence specif...

Accelerated 7T 3D DESS MR Neurography of the Cervical Spine Using CS-CAIPIRINHA and Deep Learning Reconstruction.

OBJECTIVE: To evaluate the potential of combined coherent and incoherent undersampling with deep learning (DL) reconstruction for highly accelerated h...

AI and Chatbot-Supported Interventions for Physical Activity and Obesity-Related Lifestyle Behaviors: Scoping Review With Attention to Family Involvement.

BACKGROUND: AI-enabled chatbots and related conversational systems can facilitate human-computer interaction through natural language, personalization...

AI-Generated Personalized Visualization of the Safe Place in Virtual Reality vs Traditional Safe Place Imagery: Randomized Controlled Trial.

BACKGROUND: Relaxation techniques, such as the "safe place" imagery exercise, are simple and accessible strategies to cope with the negative effects o...

How can we best predict energy expenditure in preschoolers? A comparison of machine learning models, METs computation and physical activity classification.

The first objective of this study was to refine previously designed machine learning models that predict energy expenditure (EE) of preschool children...

Predictor Of Mortality In Obstructive Sleep Apnoea: Results of Explainable Deep Learning based Survival Analysis From a 15-Year Follow-Up.

INTRODUCTION: Obstructive sleep apnoea (OSA) is a respiratory disorder with comorbidities of several nature, from cardiovascular to renal ones. OSA is...

AI Risk Prediction Tools for Autologous Breast Reconstruction.

BACKGROUND: Autologous breast reconstruction offers patients a durable and natural-appearing option after mastectomy. However, complication risks incl...

Predictive profiles for poor functional improvement and mortality after transcatheter aortic valve replacement. Value of 6-minute walk test and myocardial work analysis.

BACKGROUND: Clinical improvement and survival after transcatheter aortic valve replacement (TAVR) remain difficult to predict. Although multiple predi...

Centrosome-related gene SPHK1 drives bladder cancer progression and therapeutic vulnerability.

BACKGROUND: Centrosome-related genes (CRGs) regulate cell division and genomic stability and may influence tumor progression, but their prognostic and...