Taking a drug to market is a complex process that involves prediction of one or more combinations of molecules that can be transformed into a drug, and performance of experiments on each molecular combination to test for efficacy, stability, safety, and other metrics. This road of trial-and-error experimenting with different molecular combinations can take many years, and cost billions of dollars. Artificial intelligence (“AI”) tools can substantially reduce the time of trial-and
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