
a16z Bio + Health #6: AI for Biologics With Mark DePristo and Peyton Greenside
a16z Live
Big Hat - How Do We Make Better?
It took us nearly a year to make 32 mutints of vatal actimes and ndu basic characterization. And that experience, learning so much by making mutations of proteins really fed into this idea of how do we make better? The maximum impact from not just machine learnig, but generally data and computation would come from integrating those components as much as possible in the scientific process.
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