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 ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...

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 ...

UC San Diego researchers combined artificial intelligence with molecular biology to unravel how immune cells in the gut decide between inflammation and healing, a process gone awry in Crohn’s disease.

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 ...

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 ...