When Using Artificial Intelligence In Pharma R&D, Start With Identifying Problem To Solve

VeriSIM uses generative AI for questions such as changing a drug molecule’s chemistry and machine learning to better predict potential biological implications. “When a child is learning a language, you're teaching a child starting from A-to-Z structures, and then suddenly they start speaking. Then they start learning different things, and then they get into problem solving. That's really what AI is getting really good at now,” says CEO Jo Varshney.

VeriSIM Life's BioSIM “virtual drug development engine” narrows the number of drug compounds that offer anticipated value for the treatment or cure of specific illness or disease. • Source: VeriSIM Life

More from Digital Technologies

More from HBW Insight