Scientists at Eli Lilly have been surprised by novel design of molecules that AI has produced as part of hypothetical drug discovery research.
Lilly has been using generative AI to search through millions of molecules. With AI able to move at a speed of discovery which in five minutes can generate as many molecules as Lilly could synthesize in an entire year in traditional wet labs, it make sense to test the limits of artificial intelligence in medicine. But there's no way to know if the abundance of AI-generated designs will work in the real world, and that's something skeptical company executives wanted to learn more about.
It's a medical revolution that includes spatial genomics scanning millions of cells within tissue, in 3-D, and AI model-building that specifically benefits from a catalog of chemicals already in a digital form which allows generative AI transformer models to now go to work on them.
Powell noted that Amgen found a drug discovery process that once might have taken years can be cut down to months with the help of AI. Even more important — given the cost of drug development, which can range fromper trial — the success rate jumped when AI was introduced to the process early on. After a two-year traditional development process, the probability of success was 50/50.
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