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Daphne Koller - The Future of AI in Biology and Drug Discovery

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Daphne Koller of insitro discusses the differences between finding predictive patterns and identifying interventions that improve disease outcomes. The conversation examines biological data scarcity, structure and causality, failures in drug development and the limits of speeding up wet-lab work with AI agents. It also considers foundation models for biology, generalization beyond observed data, human evidence and scientific discovery. Hosted by Ravid Shwartz Ziv and Allen Roush. Watch the full conversation on the publisher’s YouTube channel.

Topics

predictive patternsdisease outcomesbiological data scarcitycausalitydrug developmentAI agentsfoundation models for biologygeneralizationhuman evidence

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