Exercise & Fitness

Evaluating a brief smartphone-based stress management intervention with heart rate biofeedback from built-in sensors in a three arm randomized controlled trial.

Perceived stress is prevalent in industrial societies, negatively impacting mental health. Smartphon...

Lipidomic profiling of human adiposomes identifies specific lipid shifts linked to obesity and cardiometabolic risk.

BACKGROUNDObesity, a growing health concern, often leads to metabolic disturbances, systemic inflamm...

Game-based learning in orthopaedics: A comprehensive review.

Game-based learning (GBL) has emerged as a transformative approach in medical education. It has a us...

Correction: Machine learning for cardio-oncology: predicting global longitudinal strain from conventional echocardiographic measurements in cancer patients.

Developing and comparing a new BMI inclusive energy expenditure algorithm on wrist-worn wearables.

Estimating energy expenditure (EE) in real-world settings is crucial for studying human behavior and...

Optimization of nitrogen removal through an intelligent automated operational strategy based on real-time process simulation in an A2O membrane bioreactor.

In this study, an intelligent automated operational strategy (IAOS) was developed and evaluated to e...

Exploring the potential of artificial intelligence in individualized cognitive training: A systematic review.

To tackle the challenge of responders heterogeneity, Cognitive Training (CT) research currently leve...

The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting.

Many ways of classifying steatotic liver disease (SLD) with metabolic conditions have been proposed....

A Mortality Risk Prediction Model for Septic Shock in Patients Aged ≥50: Role of Norepinephrine Index and Procalcitonin.

BACKGROUND: Septic shock is a high-mortality syndrome, particularly in patients aged 50 and older. P...

Synthesizing Research in Sport and Exercise: Transitioning to Real-World Data and Data Science.

The American Society of Biomechanics (ASB) Jim Hay Memorial Award recognizes individuals for their o...

Effects of the lumbar support function of wearable robot (Bot Fit) on sitting position.

BACKGROUND: Sedentary lifestyles can lead to musculoskeletal disorders, but proper sitting posture, ...

Designing diverse and high-performance proteins with a large language model in the loop.

We present a protein engineering approach to directed evolution with machine learning that integrate...

Machine learning-based prediction of respiratory depression during sedation for liposuction.

Procedural sedation is often performed by non-anesthesiologists in various settings and can lead to ...

The effects of learning experience on college students' deep english learning: a study of the chain mediation effect of motivation and strategy.

This study focuses on the impact of learning experience on college students' deep learning of Englis...

Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning.

This study aims to enhance the accuracy and efficiency of energy consumption prediction during exerc...

Data-driven diabetes mellitus prediction and management: a comparative evaluation of decision tree classifier and artificial neural network models along with statistical analysis.

Diabetes Mellitus is a chronic metabolic disorder affecting a substantial global population leading ...

DiaBD: A diabetes dataset for enhanced risk analysis and research in Bangladesh.

Diabetes is a chronic condition affecting millions worldwide and severely impacts health and quality...

Semi-supervised prediction of protein fitness for data-driven protein engineering.

Protein fitness prediction plays a crucial role in the advancement of protein engineering endeavours...

Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms.

BACKGROUND: Forward head posture frequently occurs among primary school children, potentially due to...

Combining flow virometry with tree-based machine learning models for rapid virus particle estimation in different wastewater matrices.

Enumerating virus particles (VPs) at different stages of the wastewater treatment process or along t...

A Novel and Modern Calculator to Predict Vaginal Birth after Cesarean Delivery.

Counseling patients who are considering a trial of labor after cesarean (TOLAC) is a challenging tas...