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#61. AI Era Evidence Flywheel
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#61. AI Era Evidence Flywheel
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In this episode, Dr. Jake Chen provides his narrative review and advocates for a fundamental shift in pharmaceutical research, moving away from inefficient trial-and-error toward an AI-augmented scientific discipline. The text outlines 12 core principles to transform drug discovery into a mechanism-aware system that prioritizes causal target biology, early safety prediction, and patient-centered strategies. Instead of using artificial intelligence simply to increase speed, Chen argues that these tools should reduce uncertainty and help researchers respect the fundamental laws of biology and chemistry. The source provides a comprehensive operational framework, including a decision-centric "evidence flywheel" and specific governance checklists for ensuring regulatory-grade credibility. Ultimately, the author suggests that the industry's future depends on human-AI collaboration, in which technology enhances rather than replaces rigorous scientific judgment. Produced by Dr. Jake Chen.