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

This is happening in startups.

This is even happening in academia.

And so I think that is like a really important story to celebrate is like the role that AI is actually already playing in making this process go better, faster and unlocking what it actually has to offer.

Yeah.

So I see tremendous potential, again, in the here and now sitting on the shelf that we're actually not pursuing or developing for AI to help with both the removal of bureaucracy in the scientific process, as well as the removal of bureaucracy within the healthcare delivery process, right?

Because a drug is only actually good if it

is approved and gets to a patient, right?

And actually saves that patient's life or makes that patient better.

And we know that our process of going from

Insight in a lab to deliver to a patient is a deeply bureaucratic process at each step of the way in terms of the amount of paperwork that's required, but also in terms of like navigating gatekeepers at each step of the way and navigating misaligned incentives each step of the way.

So I think at least how I think about it is in the scientific process,

sort of the first gatekeeper you encounter is in academia, which is like, what is the Overton window of thought?

Like what are our fundamental assumptions about how biology works or doesn't work or how diseases work or doesn't work?

And if your idea is within that box, you're likely to get an NIH grant or you're likely to get supported, right?

If your idea is out of that box,

you're really going to struggle for resources, right?

And so we have a system that fundamentally rewards incremental thinking and not necessarily rewards out of the box thinking.

So like step one is like, how can we actually use AI systems to encourage reward, change peer review processes, think about alternate ways we can evaluate ideas to value the out of the box ideas just as much as the inside of the box ones to get more of those going.

Then you have sort of the next gatekeeper, which you encounter, okay, you have an idea, you tested it in your cells, in your lab, your mouse, he looks good.

You want to take that to the FDA.

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