Two Scientists Walk Into a Bar S5E09: AI and The Future of Medicine
Nov 17, 2024
In a fascinating discussion, Rich Bonneau, Vice President of Machine Learning in Drug Discovery, shares insights on the revolutionary impact of AI in medicine. He highlights how machine learning is reshaping drug development, especially in designing therapeutics like antibodies. The conversation covers the importance of integrating AI with traditional methods, minimizing biases in data, and the potential of large language models in analyzing complex datasets. Rich emphasizes the need for collaboration between biologists and computer scientists to optimize drug discovery and create innovative therapies.
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AI in Target Discovery
- Target discovery can be aided by AI models that analyze literature, patents, and biological data.
- Multimodal models can integrate information about cell interactions, gene expression, and existing knowledge.
Early Intersection of Biology and ML
- In 1997, ML predicted protein secondary structure (helix, strand, etc.) using sequence data.
- This was a simpler application compared to today but significantly impacted protein research.
Increased Visibility of AI/ML
- Increased discussion of AI and ML is due to both real advances and increased public access.
- Compelling language and vision applications have made these technologies more engaging.