Emilia Javorsky

speaker

1,653 appearances 2 recordings 1 series first heard Mar 2026 last heard 20 Mar

Emilia Javorsky’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 2 in all, peaking in Mar 2026 with 2.

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Future of Life Institute Podcast · What AI Companies Get Wrong About Curing Cancer (with Emilia Javorsky) · 20 Mar 2026 podcast

That is very different than where we actually need to be testing cancer therapies, which does this work in early stage disease or does this prevent disease?

And so when you start getting to those questions, your timelines become so much longer, right?

In prevention studies or in early stage studies.

And that's something that's just as of right now is not fundamentally compressible.

And so I think there's a little bit of intellectual dishonesty in saying that the COVID example is reflective of what's available to all chronic and complex diseases.

The last piece of it is the resourcing of it.

like there were unprecedented amount of resources that went into getting the COVID vaccine done from the government, from the regulators that were on board of like, how can we make this go as quickly as possible?

That doesn't exist for chronic diseases.

cancer is killing 600,000 people in America every year.

And it commanded kind of nothing close to the amount of resources that we invested in COVID.

So like, dollars do make it go faster.

And it's a question of like, how do we actually want to allot those resources and cancer, we do a lot resources, but it's still a fraction of healthcare expenditures and a fraction of what we invested in COVID.

Yeah.

So I would say there's a few ways to think about this.

I would say step one in AI and curing cancer or just curing cancer period, right?

Without thinking about the role of AI.

Step one is doubling down on these AI tools that can reduce friction in the process, increase predictive value, make things go faster.

There are numerous ones across every dimension from identifying new drugs to AI in proteomics, AI in genomics, AI in clinical trial designs, AI to better select therapies for patients in the clinic.

all of that we need to be doubling down on and amplifying and celebrating.

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