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 ...

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

Genetic algorithms (GAs) have emerged as a powerful optimisation tool in product design and user-centred engineering, drawing inspiration from the principles of biological evolution. They use ...

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 ...