Most target discovery still mistakes correlation for causation. A gene that responds to disease looks like a strong signal, but silencing it often does nothing. TargetOS learns from real gene interventions, what happens when you switch a gene off, to find the targets that are genuinely driving disease, including ones conventional workflows miss.
Founded by a team with backgrounds in theoretical physics, target discovery, causal inference, and production ML, with prior experience at Babylon Health, BenevolentAI, Ori Biotech, CERN, Tractable, and Fathom, and supported by domain specialists from pharmaceutical R&D and computational biology.
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Geodesic Labs

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