Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Cedars-Sinai Health Sciences University investigators developed an AI-based model that can identify hospitalized patients at ...

A comprehensive review recently published in Current Molecular Pharmacology (2026, Volume 19, Pages 85–96) examines the ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Often called "the window to the soul," the eyes may also offer clues about something less poetic but just as important: the ...

Researchers at UCSF developed a new way to build clinical prediction tools that combines the speed of artificial intelligence ...

A new study reveals how AI analyzes routine retinal eye photos to predict Alzheimer’s lifestyle and biological risk factors ...

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...

Goldman Sachs, possibly the most buttoned-up of all the big investment banks, released a report on Friday led by chief economist and head of Global Investment Research, Jan Hatzius, listing the odds ...

Kawasaki disease (KD) is an acute systemic vasculitis predominantly affecting children under 5 years of age. Its pathogenesis remains incompletely understood, and the lack of specific diagnostic ...

Tick season has arrived, which means that between now and September in the United States, you’re more likely to discover a tick on your skin after spending time outdoors. In fact, emergency room ...

Researchers at the University of Glasgow have developed a new way to test networks, which they claim is 25,000 times faster than traditional approaches. Shenjia Ding, a research student at the ...