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

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 ...

An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...

A RAND study found that the newest AI models can design lab-ready DNA sequences and generate workable protocols, successfully ...

The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...

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 ...

Forbes contributors publish independent expert analyses and insights. Recent breakthroughs in genetics research may have uncovered new genes underlying common psychiatric disorders. Schizophrenia and ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...