Latest AI and machine learning research in prevention for healthcare professionals.
AIMS: Obesity and metabolic dysfunction-associated steatotic liver disease (MASLD) arise from impaired redox and energy homeostasis, yet current therapies remain limited. We evaluated the anti-obesity efficacy and mechanisms of Rhus verniciflua Stokes (RVS) extract using integrated in vivo and artificial intelligence (AI)-based approaches. MATERIALS AND METHODS: Male ICR mice were fed a high-fat d...
Alzheimer's disease (AD) is the most prevalent type of dementia, and its pathophysiological mechanisms involve multiple factors, including genomic factors, metabolomic factors, and environmental factors. Lipid dysregulation occurs both centrally and peripherally in patients with AD, and the severity is closely associated with disease progression. Applied studies based on genome-wide association st...
BACKGROUND: Digital health literacy (DHL) is the ability to locate, understand, evaluate, and apply health information in digital environments. It is ...
AIMS: Sleep, physical activity, and nutrition (SPAN) are major lifestyle behaviours that influence cardiovascular disease risk. We examined the multi-...
Cardiopulmonary exercise testing (CPET) allows for the study of the pathophysiology of exercise intolerance through assessment of exercise integrative...
BACKGROUND: Diet-related chronic conditions are major contributors to global morbidity and mortality. Effective management of these conditions require...
Mercury is a global highly toxic pollutant linked to neurodevelopmental impairments and cardiovascular risks. However, despite being the world's large...
BACKGROUND: Personalized behavioral recommendations through mobile apps have proven effective in preventing serious chronic diseases such as diabetes....
Depressive symptoms are common among adults with diabetes and are associated with adverse clinical outcomes, including mortality. Evidence from genera...
Epilepsy is a chronic neurological disorder causing recurrent seizures. Improved diagnosis and management, including high-resolution imaging, genetic ...
\textbf{Objective:} Physiological measurements obtained from wearable devices reflect complex autonomic nervous system dynamics that are often ass...
Lynch syndrome (LS), synonymous with hereditary non-polyposis colorectal cancer (HNPCC), is caused by germline pathogenic variants in MLH1, MSH2, MSH6...
This systematic review examines food waste management in Malaysian private healthcare, investigating the complex intersection of operational inefficie...
AIMS: Accurate stratification of mortality risk is essential for management of chronic coronary syndromes (CCS), but existing models focus primarily o...
UNLABELLED: Upper gastrointestinal endoscopy (UGIE) with duodenal biopsies remains the gold standard for diagnosing celiac disease (CD) in children an...
The workforce shortages caused by aging populations demand a transition from reactive to preventive healthcare strategies. Generative Artificial Intel...
Hydrogel-based strain sensors are attractive for wearable electronics owing to their stretchability, self-healing, and biocompatibility. However, conv...
BACKGROUND: Obesity-related alterations in the gut microbiota have been linked to cognitive decline, yet their relationship with attention remains poo...