Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: Artificial intelligence (AI) is increasingly entering and transforming not only medical ...
Nifedipine (NIF) is a dihydropyridine calcium channel blocker primarily used to treat conditions suc...
INTRODUCTION: Preeclampsia is a disease with an unknown pathogenesis and is one of the leading cause...
The traditional way of thinking about human diseases across clinical and narrow phenomics silos ofte...
OBJECTIVE: The co-occurrence of kidney disease in patients with type 2 diabetes (T2D) is a major pub...
Atrial fibrillation (AF) is the most common clinically significant cardiac arrhythmia and is an impo...
The rapid evolution of highly adaptable and reusable artificial intelligence models facilitates the ...
The lymphocyte-specific protein tyrosine kinase (LCK) plays a crucial role in both T-cell developmen...
As one of the effective ways of ocular disease recognition, early fundus screening can help patients...
BACKGROUND: This study aims to develop an artificial neural network (ANN) prediction model incorpora...
INTRODUCTION: None of the studies of type 2 diabetes (T2D) subtyping to date have used linked popula...
BACKGROUND: Accurate prediction of an individual's predisposition to diseases is vital for preventiv...
OBJECTIVE: To assess the effectiveness of different machine learning models in estimating the pharma...
AIM: To explore biomarkers that can predict the response of type 2 diabetes (T2D) patients to metfor...
Hyperlipidemia has many ocular manifestations, the most prevalent being retinal vascular occlusion. ...
The rapid spread of the new pandemic, i.e., coronavirus disease 2019 (COVID-19), has severely threat...
Effective blood glucose management is crucial for people with diabetes to avoid acute complications....
Despite new pharmacotherapy, most patients with long-term type 2 diabetes are still hyperglycemic. ...
Sociodemographic and lifestyle factors (sleep, physical activity, and sedentary behavior) may predic...
To construct a prediction model of olfactory dysfunction after transnasal sellar pituitary tumor res...
OBJECTIVE AND AIMS: Identification of associations between the obese category of weight in the gener...