Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

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 ...

Individual patient data (IPD) analysis of early PSA nadir in ARASENS, LATITUDE, and TITAN: Training and validation of a novel model. Assessing genomic instability (GI) by shallow whole-genome ...

Cosmologists have spent decades trying to pin down exactly how fast the universe is flying apart and whether that rate is ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

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 ...

Fig 1. Major themes for translational artificial intelligence algorithms across the course of prostate cancer care. In the localized disease setting, majority of algorithm development has focused on ...

A squad of new AI algorithms called GAME could help astrophysicists take a more accurate reading of the universe’s behavior, ...