Finding New Drugs Is Laborious. This AI Startup Is Skipping The Lab Work
THE SO WHAT
Training drug-discovery models on synthetic biochemical data is a bet that simulation can outrun wet-lab bottlenecks. If you’re in pharma or tools, you need a view on where simulated priors end and empirical validation begins—or you’ll either over-index on pretty in silico results or miss a cost collapse in early-stage R&D.
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