Researchers tested phononic nanomaterials designed with an automated genetic algorithm that responded to light pulses with controlled vibrations. This work may help in the development of ...

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 ...

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

Whether we are predisposed to particular diseases may depend to a large extent on variations in our genomes, but the influence on the presentation of certain pathological traits of genetic variants ...

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

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. “Not All Algorithms are AI” is a three-part deep dive into the evolution of algorithms, what ...