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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ML vs. Generative AI
- Machine learning (ML) helps predict and annotate data.
- Generative AI learns models to create new, extrapolated things.
Generative AI in Molecular Design
- Molecular design with generative AI creates potential medicines like therapeutic antibodies.
- Integrating machine learning with structural predictions and scoring functions accelerates drug discovery.
Improving Antibody Binding
- Machine learning improves antibody binding by balancing folding and function, considering sequence and structure.
- It translates between sequence, structure, and function, leveraging vast amounts of sequence data.