To streamline drug discovery, team develops algorithmic framework to identify optimal molecular candidates

The use of AI to streamline drug discovery is exploding. Researchers are deploying machine-learning models to help them identify molecules, among billions of options, that might have the properties they are seeking to develop new medicines.