Accelerating drug discovery with AI: Insights from Isomorphic Labs
Gradient Dissent: Conversations on AI
Evolution of AI in Drug Design
The chapter explores the evolution of AI in drug design, tracing the historical hype cycle to renewed enthusiasm. It discusses the transition from local models to global models for drug discovery using machine learning, emphasizing the importance of data points and model training. The conversation delves into training AI models with a focus on global models like Alpha Fold and Alpha Fold Two, highlighting their versatility and generalization across different drug design programs.
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