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, 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

Artificial intelligence can provide paths for pharmaceutical firms to cut costs and time for getting additional OTC as well as Rx drugs to market. Their first step, says the CEO of a pharmaceutical AI developer, is determining the questions they need to answer.

“I ask people, what is the problem that you want me to solve instead of what kind of AI do you want to use? It's a simple change in the...

The San Francisco-based firm Varshney founded in 2017 uses generative AI for questions such as how to change the chemistry of a drug molecule, while machine learning, or deep learning...

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