Artificial intelligence and machine learning are being embedded in every aspect of the drug discovery and development process. In the preclinical stages, for example, companies are using advanced AI ...

(L) First and co-corresponding author Charlie Wright, PhD, St. and (R) co-corresponding author Paul Geeleher, PhD, both of the St. Jude Department of Computational Biology. (MEMPHIS, Tenn. – December ...

The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...

Artificial intelligence algorithms have now been combined with traditional laboratory methods to uncover promising drug leads against human enterovirus 71 (EV71), the pathogen behind most cases of ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...