A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

Match content to user intent: AI summaries typically pull from pages that directly answer common search questions. Pages that ...

A recent Cleveland Clinic study used AI to create digital twins of patients' metabolisms—and cured 7 in 10 type 2 diabetics.

Background Adverse childhood experiences (ACEs) are traumatic events that occur before a child reaches the age of 15 with ...

Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.

What if AI could tell you when your diabetes might get worse—before it happens? From blood sugar trends to retinal scans, ...

Objectives We hypothesise that women with type 2 diabetes and hypertension are less likely than comparable men to receive renin–angiotensin system (RAS)-inhibiting antihypertensive treatment, ...

Background Patients with single-ventricle physiology are often palliated with the Fontan operation, which may involve the creation of a fenestration. We aimed to evaluate differences in ...

Master AI app development in 2026 with eight specialized models, from GPT 5.1 High to Codex variants, to cut costs and match ...

Scott-Moncrieff: The most important first step is deciding which treatment is right for that individual cat, because monitoring differs depending on whether you choose insulin or an SGLT2 ...