By Priyanjana Pramanik, MSc. By combining oxidative stress biology with advanced machine learning, researchers show how a ...

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

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

At present, around 59 million adults worldwide have diabetes, about 64 million are diagnosed with heart failure, and ...

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

By comparing clinical cohorts and populations from Singapore and the US, researchers will study infectious diseases, corneal disorders, liver transplant outcomes, diabetes and lung cancer to uncover ...

Mid-Atlantic Permanente Medical Group shows how trusted data and technology can turn value-based care into better outcomes, ...

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, ...