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

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

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 ...

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

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 healthcare technology firm was hit last week with a novel class action that accuses it of illegally mining Illinois residents' genetic testing data to train its artificial intelligence algorithms.

In a new paper published in the journal Trends in Genetics researchers from the University of Vermont and Trinity College Dublin propose an innovative analogy between AI models and genetic encoding to ...

This is a KFF Health News story. Preparing cancer patients for difficult decisions is an oncologist's job. They don't always remember to do it, however. At the University of Pennsylvania Health System ...