Latest AI and machine learning research in exercise & fitness for healthcare professionals.
The process of discovery requires active exploration -- the act of collecting new and informative da...
Background: Cardiovascular disease (CVD) prevention is limited by the major challenge of low long-te...
Wearable foundation models (WFMs), trained on large volumes of data collected by affordable, always-...
Sleep disturbances are tightly linked to cardiovascular risk, yet polysomnography (PSG)-the clinical...
Objectives Patients with osteoarthritis (OA) affecting multiple joints have poorer health outcomes t...
Human Activity Recognition using wearable inertial sensors is foundational to healthcare monitoring,...
Measuring the growth rate of filamentous fungi is an essential phenotype assay in fungal biology, en...
Stress detection with wearable physiological sensors is vital in digital health and affective comput...
Background: Cardiovascular disease remains the leading cause of global morbidity and mortality. The ...
Objective: To evaluate modifiable antepartum and intrapartum factors associated with nulliparous, te...
Introduction: Physical fatigue is a key determinant of operational readiness in the physically deman...
This work introduces a novel training paradigm that draws from affective neuroscience. Inspired by t...
Activity of the mesolimbic system is essential for adaptive performance of reward-related behaviors....
Societies are aging rapidly in parallel with the increasingly earlier onset of serious diseases in y...
Body mass index (BMI), type 2 diabetes (T2D) and associated cardiometabolic features modify Alzheime...
Machine learning models trained on measurements of protein functional properties are widely used to ...
Brain machine interfaces (BMIs) aim to decode motor intentions from neural activity to enable direct...
Background- Eating timing and regularity represent new contributors to metabolic health, however, th...
The engineering of enzymes with novel functions is a cornerstone of synthetic biology but remains bo...
Determining physiological stress at high resolution is crucial across diverse settings to enable inf...
Genome-wide association studies of physical activity traits have mapped numerous loci, yet the molec...