Latest AI and machine learning research in obesity for healthcare professionals.
We present a hybrid brain-machine interface (BMI) that integrates steady-state visually evoked pot...
Premature coronary artery disease (PCAD) refers to the early onset of the disease, usually before ...
The COVID-19 pandemic has generated a vast volume of research, yet much of it focuses on individual ...
Despite increased understanding of psoriasis pathogenesis, molecular classification of clinical phen...
Precision medicine aims to tailor healthcare strategies to individual differences in genetic, clinic...
Helicobacter pylori (H. pylori) infection is widespread globally and is linked to outcomes ranging f...
Epstein–Barr virus (EBV) is strongly implicated in Multiple Sclerosis (MS), but how its influence va...
Metabolic dysfunction-associated steatotic liver disease (MASLD, previously NAFLD) is a frequent co-...
When we listen to music, we often feel a pleasurable urge to move to music, known as groove. While p...
Understanding how cognition shapes behavior across contexts remains a fundamental challenge for many...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent condition cha...
Predicting individual health trajectories based on risk scores can help formulate effective preventi...
Physical activity is essential for preventing cognitive decline, stroke and dementia in older adults...
Schizophrenia spectrum disorders (SSD) are associated with accelerated brain aging, reflected in an ...
Hypertension continues to be a major challenge in developing countries like South Africa, as it sign...
Fatigue is common but mostly untreated in type 2 diabetes, since it requires a diagnostic workup whi...
This study constructs an acupuncture knowledge graph (AcuKG) to systematically organize and represen...
Metabolomics data are often generated through different analytical platforms and different methods o...
Coronary artery disease (CAD) is a leading cause of mortality, with stroke being a major complicatio...
Major depressive disorder (MDD) remains challenging to treat, with many patients failing to respond ...
Develop a neighborhood-level framework using machine learning and causal inference to identify socio...