To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...

Rare diseases can often be difficult to diagnose because their symptoms can overlap with a variety of conditions. One such disease is acute hepatic porphyria (AHP), a rare genetic disease with ...

In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...

The seven-year medical odyssey that once defined rare disease diagnosis is being rewritten by algorithms capable of identifying medical zebras in the time it takes to refresh your social media feed.

Overview: AI now supports doctors across diagnosis, triage, and operations in hospitals and clinics.From cancer screening to ECG analysis, AI improves accuracy ...