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Executive Panel - Operationalizing AI in Discovery Biology: From Target Hypothesis to Translational Decision-Making
Examine how leading organizations are shifting to AI-first target identification and embedding multimodal models into core discovery workflows. Assess how causal systems biology and integrated data platforms are strengthening target validation and enabling more confident translational decision-making. Define the measurable impact AI is delivering from hypothesis through validation - improving speed, decision quality and probability of technical success.
