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
And AlphaFold is, for those who don't know, is a system that was developed by DeepMind to solve the protein folding problem.
This was a problem that stumped scientists for decades.
And this was an incredible medical breakthrough for being able to design new drugs and understand how to unlock new targets that we weren't able to before because we didn't have full understanding of protein structures.
this even won the Nobel Prize.
And I think very often this gets held up as an example of AI advances.
But from my perspective, as much as it's an AI story, it's also a data story.
And what protein folding had was this database called the Protein Data Bank.
And it was over decades, scientists collectively around the world
put in these x-ray crystallography structures, or basically the data of the known structures of the proteins that we've been able to capture and measure into a standardized database.
So when we wanted to go tackle this problem of how do we solve protein folding, there was actually a data set of here are all the structures of proteins that we know that is curated and scientifically validated.
And so to me, that's kind of the counterfactual of
if we want to start unlocking AI progress, we probably should start repopulating this data desert.
Because if we do, we've seen that it can do really great things.
We do have certain cancer registries and there are definitely efforts in this regard from the National Cancer Institute and others.
And those need to sort of be radically scaled up of like tumor profiles and how do we compare different tumor profiles and patient outcomes.
And I would say of the medical specialties, cancer is probably the most out front on this and trying to actually tackle this problem.
But at a systemic level, we really don't have that.
It's a fraction of patients that actually make it into those data sets.
And those data sets are also quite focused, right?
It's what is the tumor biology?
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