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 monthsRecordings per month over the last 12 months — 2 in all, peaking in Mar 2026 with 2.
Appearances
the way we thought about classifying disease and taking that as truth, instead of saying, well, let's like, that was the 1950s, right?
When we were using words to describe things, how do we actually start describing things in terms of individual biology and the measurement of that biology?
That's a kind of phase transition that needs to happen.
If we're going to get that data,
from real humans in the clinic, in everyday life, at scale, and at scale is what you really need to be able to move the needle on AI modeling of it.
Completely, and I think you're hitting on something really important here, which is biology is a homeostatic system, right?
And I joke that like there's no free lunch in biology and that's something many scientists say because when you perturb biology, you're fundamentally perturbing a whole bunch of pathways and it's unforeseen sort of what else is going to happen.
At the most basic level, this is why medications have side effects.
We design the medication to intervene in this disease process or to hit this target, and whoops, we had all these unforeseen things happen.
And this is why we still need clinical trials is we actually cannot predict at scale what are all those other things that can start happening in terms of the trade-offs that you're making.
And this is a fundamental cultural difference, I think, between the way that big tech and AI scientists think and the way that clinicians and biologists think.
So the culture of Silicon Valley and big tech has been one where narrow optimization leads to success.
And so you pick a metric, you drive that metric really, really hard, you achieve scale, you achieve escape velocity, and you make change happen and you bring something new into the world.
In biology, you cannot do that, right?
And I'll give you the example of like lipids in your blood.
So lipids in your blood, well, if you drove that down to zero, your brain wouldn't work.
And if you drove that all the way up, your arteries would start clogging, right?
And so like everything exists in these sort of narrow homeostatic windows.
And
I think the question is, is we don't even know what those windows are.
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