

EP 155: AI's Edge in Pharma - Lowering Drug Failure Rates
29 snips Nov 30, 2023
In this discussion, Chris Gibson, Co-founder and CEO of Recursion, shares his insights on reshaping the pharmaceutical industry through AI. He dives into why drugs fail frequently and how AI can revolutionize drug discovery. Chris highlights advancements in AI that enhance drug testing and clinical trials, aiming to lower costs and improve treatment success rates. He also touches on the challenges of data quality, emphasizing the future potential of AI in medicine to improve healthcare accessibility and effectiveness.
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High Drug Failure Rates
- Drug failure rates are high (90%) due to the complexity of biological and chemical interactions.
- AI can help by analyzing large datasets to find patterns and relationships, potentially lowering failure rates and drug costs.
AI's Changing Role
- AI has been used in medicine for decades, but recent advancements like LLMs are changing drug discovery.
- Generative AI helps design molecules and analyze complex datasets for faster, more efficient drug development.
ChatGPT's Impact
- ChatGPT's simplicity and accessibility sparked interest in AI within the biopharma industry.
- Its language-based applications helped executives understand AI's broader potential, leading to increased adoption.