Latest AI and machine learning research in primary care for healthcare professionals.
MRI-derived organ and tissue volumes are powerful endophenotypes for studying complex disease, but t...
Diabetes Mellitus (DM) represents one of the most significant global public health challenges of the...
Ambient artificial intelligence (AI) clinical documentation tools have gained rapid adoption in heal...
Systematic reviews (SRs) are essential for evidence-based practice but remain labor-intensive, espec...
Cognitive function can decline irreversibly with age, potentially progressing to dementia. Intervent...
Obesity is a chronic, heterogeneous condition, with risks, trajectories, and treatment responses tha...
Pregnancy orchestrates a rare physiological transformation across vascular, immune, and metabolic sy...
Genetic risk factors for neuropsychiatric disorders are well documented. However, some individuals w...
Early identification of dementia risk is essential for preventive care and timely enrolment into dis...
We present a Bayesian machine learning framework integrating genetic, molecular, and wearable sensor...
Cardiovascular disease (CVD) is a leading cause of diabetes-related mortality in Mexico. Although di...
Polygenic predictors can enhance screening for biomedical conditions, such as metabolism-related tra...
Biological aging remains a central focus of research, from the scale of sub-cellular processes to wh...
Optimizing immunosuppressive therapy remains central to improving long-term outcomes after kidney tr...
Carotid ultrasound is routinely used in clinical practice for non-invasive vascular anatomical and f...
Questionnaires that capture patient-reported symptomatology provide low-cost but potentially high-va...
Chronic obstructive pulmonary disease (COPD) is the third leading cause of global mortality. Emergin...
Blood-based metabolomic signatures offer promising, non-invasive avenues for Alzheimer’s disease (AD...
Diabetes Mellitus (DM) is a metabolic disorder characterized by hyperglycemia, with type 1 character...
Automated machine learning (AutoML) promises to democratize predictive modeling in healthcare by aut...
Heart failure with preserved ejection fraction (HFpEF) accounts for over half of all heart failure c...