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

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 ...

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 ...

Erratum: Development of an Automatic Rule-Based Algorithm for the Detection of Ovarian Cancer Recurrence From Electronic Health Records ...

Scientists at Oak Ridge National Laboratory have used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms ...

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 ...