Latest AI and machine learning research in exercise & fitness for healthcare professionals.
Stroke is a leading cause of death and disability globally, particularly in China. Identifying risk ...
Enzyme engineering is limited by the challenge of rapidly generating and using large datasets of seq...
Elderly patients undergoing maintenance hemodialysis (MHD) face a heightened risk of cognitive frail...
Large language models (LLMs), represented by ChatGPT, are one of the most significant technological ...
is a leading foodborne pathogen that may enter a viable but nonculturable (VBNC) state to survive u...
This study investigates mental fatigue in sports activities by leveraging deep learning techniques, ...
Cardio Vascular Disease (CVD) is one of the leading causes of mortality and it is estimated that 1 i...
BackgroundIntensive care unit (ICU) acquired weakness is a detrimental condition characterized by mu...
Rehabilitation is the process of helping people regain or improve lost or impaired function due to i...
Financial portfolio management investment policies computed quantitatively by modern portfolio theor...
Osteoporotic femoral neck fractures (OFNFs) pose a significant orthopedic challenge in the elderly p...
The pursuit of obtaining enzymes with high activity and stability remains a grail in enzyme evolutio...
Knee osteoarthritis (KOA) represents a progressive degenerative disorder characterized by the gradua...
AI has changed the landscape of health professions education. With the hype now behind us, we find o...
p-phenylenediamine antioxidants (PPDs) are extensively used in rubber manufacturing for their potent...
With the rapid development of sports technology, smart wearable devices play a crucial role in athle...
To improve the scientific accuracy and precision of children's physical fitness evaluations, this st...
Polymers are widely produced and contribute significantly to environmental pollution due to their lo...
Lateral walking gait phase recognition and prediction are the premise of hip exoskeleton application...
Variable interactivity is crucial in biological multivariate time series analysis. This research sug...
Developing a new diagnostic prediction model for osteoarthritis (OA) to assess the likelihood of ind...