Episode summary
Mark Zuckerberg & Priscilla Chan: How AI Will Cure All Disease
The a16z Show
· · Hosts: Ben Horowitz, Erik Torenberg · Guests: Mark Zuckerberg, Priscilla Chan
Summary
Priscilla Chan and Mark Zuckerberg argue that curing, preventing, and managing all disease requires tools that basic science still lacks, not just more conventional grants. They say the Chan Zuckerberg Initiative was built around the idea that major scientific leaps usually follow new instruments, and that biology now needs a comparable infrastructure layer: standardized datasets, AI models, and open tools that let researchers ask better questions faster.
A major example is the Cell Atlas and Cell by Gene workflow, which they describe as a network effect in scientific infrastructure. What began as an annotation bottleneck became a shared standard, and they say millions of cells are now available in an open format because the broader community adopted the same tooling. They frame this as the missing “periodic table” for biology and a foundation for future virtual cell models.
They also describe a shift to a more unified Biohub organization under AI leadership. The goal is to combine frontier biology and frontier AI, using biohubs in New York, Chicago, and San Francisco to generate new data, train models, and eventually build increasingly general virtual biological systems. They say this should let scientists test riskier hypotheses in silico before committing time and money to wet lab work, and could accelerate precision medicine and drug discovery.
Key takeaways
- Priscilla Chan says the mission started from seeing children and families with conditions that basic medicine could not explain, which convinced her that basic science needed better tools.
- Mark Zuckerberg says the initiative’s strategy is to build tools that accelerate the whole field, because major breakthroughs usually follow new instruments.
- They say Cell by Gene turned a single-cell annotation bottleneck into an open standard that helped produce millions of shared cells and a strong community flywheel.
- The hosts argue that virtual cell models could let scientists derisk expensive experiments by testing high-risk hypotheses in silico first.
- Chan says most diseases should be thought of as rare diseases because each person’s biology is different, which points toward more precision medicine.
- They say the Biohub is now being reorganized as one team under AI leadership to tighten the loop between new data sets and new models.
Notable quotes
“We think that this is like probably one of the most important sets of tools that you need to build”
“the goal to cure and prevent disease by the end of the century, people like honestly most scientists couldn't look at us with a straight face”
“if you look at the history of science most major breakthroughs are basically preceded by the invention of a new tool to observe phenomena in a new way”
“there's not the kind of periodic table of elements equivalent for biology”
“most diseases should be thought of as rare diseases because each one of our biology is different”
How the episode opens
This is a a a space that I mean that there's just going to be a huge amount of leverage with AI. It still seems like there could be a lot more effort in this space around building tools and it's kind of this crazy thing that we're you know here in you know 2025 and there's not the kind of periodic table of elements equivalent for biology. We think that this is like probably one of the most important sets of tools that you need to build.
When we first set out that the goal to cure and prevent disease by the end of the century, people like honestly most scientists couldn't look at us with a straight face. And that's crazy. Yes.
And it was true because if you just decided to spend the money funding the next best grant for every single lab in the country, like you there was no pathway to that being true. The biology folks, I think, looked at it as if it were crazy ambitious. And then the AI folks are like, well, that's kind of boring.
That's just automatically going to happen. I know. It's like, okay, there's something in between there that needs to be bridged.
Mark Priscilla, welcome to the Asz podcast. Thanks for having us. Yeah, great to be here.
Excited. All right. Excited to have you.
You're doing exciting stuff. Yeah. Well, to that end, almost a decade ago, you guys started the Chan Zuckerberg initiative with the mission and intent to cure, prevent, manage all disease by the end of this century.
There's a lot of missions that you guys could have poured your time and resources into. Why don't we talk about take us behind the conversations of why you guys picked this one? Maybe Priscilla, why don't we start with with you and you hear your side of the story.
From the episode’s captions: roughly the first two minutes, lightly cleaned. Keep watching on YouTube →
Topics
- ai in healthcare
- computational biology
- cell atlas
- virtual cell models
- biotech research funding
Companies and tickers mentioned
- Chan Zuckerberg Initiative
- Biohub
Watch the episode
Watch “Mark Zuckerberg & Priscilla Chan: How AI Will Cure All Disease” on YouTube
Summary, takeaways and quote selection by Octagon. Quotes are short excerpts; the full conversation is in the episode.
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The a16z Show, this episode and its artwork belong to Andreessen Horowitz. Octagon is not affiliated with the show; this page is an independent summary.
