Latest AI and machine learning research in exercise & fitness for healthcare professionals.
Disrupted brain iron metabolism and activated ferroptosis during ageing constitute significant precu...
Information from electronic health records (EHRs) may be incorporated into computable phenotype algo...
Cardiorespiratory fitness (CRF) is a powerful predictor of cardiovascular events and overall mortali...
Osteoporosis is a major health concern in Vietnam due to a rise in aging rates. However, cost-effect...
This study explored the association between low-dose computed tomography (LDCT)-derived body composi...
Personalized treatment in psoriatic arthritis (PsA) remains challenging, particularly in guiding dos...
Accelerometers are used to measure sedentary time (SED) and physical activity (PA) in toddlers, but ...
Children with attention-deficit/hyperactivity disorder (ADHD) often face barriers to participating i...
Heart Failure is a common and serious condition that often remains undetected until a major cardio-v...
Type 2 diabetes is a wide-spread chronic condition in which blood glucose and body weight management...
Point-of-care ultrasonography (POCUS) enables clinicians to obtain critical diagnostic information a...
Sleep disorders, including insomnia and obstructive sleep apnea, affect millions of individuals worl...
Pelvic floor dysfunction (PFD) is a highly prevalent and heterogeneous condition among women. The tr...
Ischemic heart disease (IHD) remains the leading cause of morbidity and mortality worldwide, imposin...
The proliferation of food delivery applications has fundamentally transformed urban dietary behavior...
Colorectal cancer (CRC) remains a major cause of cancer-related morbidity and mortality worldwide. E...
Obesity is a chronic, heterogeneous condition, with risks, trajectories, and treatment responses tha...
Personalized data-driven interventions for depression are much needed. Here, we leveraged N-of-1 mac...
Alzheimers disease (AD) remains a major global health challenge, with growing evidence linking chron...
Polygenic predictors can enhance screening for biomedical conditions, such as metabolism-related tra...
Traditional epigenetic aging clocks are limited because they do not incorporate clinical information...