AI in biopharma has gone from luxury to necessity, spurred by unsustainable costs and failure rates. The traditional R&D for any new drug can cost as much as 1 to 2.5 billion dollars and can take anywhere between 10 to 14 years. This is where one of the most promising AI use cases in biopharma comes into play. AI can reduce drug screening and manufacturing time by 40% annually and save up to $26 billion a year in R&D costs.
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