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Potential Sciences aims to accelerate drug discovery by training AI models on physics-based simulations of molecular interactions, potentially bypassing traditional lab experimentation for early-stage filtering. The startup's approach targets rare diseases and personalized medicine by predicting how molecules bind to proteins before clinical trials, though the technology still faces significant engineering hurdles compared to current standards.
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Source coveringWired
Finding New Drugs Is Laborious. This AI Startup Is Skipping The Lab Work
Wired1 min read


