

When AI and Genomics Collide
48 snips Oct 3, 2023
Daphne Koller, a Stanford computer science professor and co-founder of Coursera, now leads Insitro, combining AI with drug development. She discusses the exciting convergence of AI and genomics, highlighting the decreasing costs of genome sequencing and the transformative power of machine learning in health. Topics include innovative uses of pluripotent stem cells, the POSH approach integrating AI with CRISPR, and the challenges of translating results from mice to humans. Koller's insights reflect a pivotal moment in digital biology that could redefine treatment strategies.
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Why Life Sciences?
- Daphne Koller chose life sciences due to its importance and the potential of AI for good.
- The ability to measure biology at scale now allows meaningful AI deployment.
Data Generation at Scale
- The ability to generate biological data at scale, like with Insitro's data factory, is a unique advantage.
- This allows for engineered discovery and interesting machine learning problems.
POSH Platform Example
- Insitro's POSH platform allows for large-scale CRISPR screens to study genetic mutations' effects.
- This helps decipher genotype-phenotype connections and understand clinical impact.