Spent thousands to save billions
A Phase III trial fails. Toxicity discovered too late. Billions gone.
Axiom Bio wanted to predict failures earlier. They pointed Claude at biological databases - millions of compounds, papers, gene data.
Billions of tokens later: patterns emerged. Compounds flagged for risk. Mechanisms identified. Problems caught computationally, not in hospitals.
Cost: six figures in API fees. Savings: potentially billions.
P.S. Ever used AI for research analysis? What databases did you connect? Hit reply.
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