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.
Trend
recordings per month · last 12 monthsRecordings per month over the last 12 months — 2 in all, peaking in Mar 2026 with 2.
Appearances
Now this could look like the NIH moving away from investing in individual researchers to saying like the NIH is gonna devote a whole bunch of dollars to actually developing big bold data sets that we need.
We think about the role philanthropy has played in this.
This is something that was part of the UK biobank story was philanthropy coming in.
Like the same way that we have naming rights for buildings on academic institutions, can we do that for data?
Can we have philanthropists buy and name a particular data set that is needed in the community and forever gets quoted in the scientific literature under their name?
So getting creative about ways that we can better sort of resource data collection.
How can we also change the conversation around data
better measuring patients and collecting that data from patients.
And that's both a piece of regulatory reform to allow us to use these new state of the art measurement modalities to measure patients and work with them to figure out how that actually could integrate into clinical care.
It's also a matter of empowering people to know that these things exist and getting them down to price points, very much like happened with consumer genomics, where like the original genome, super expensive.
Like now it was down to a price point that actually consumers could afford.
How do we do that across areas of novel biological measurement so that's accessible?
I would say the other piece is what data, what sort of research do we fund and reward?
How do we move from this incremental model to a high risk, high reward model?
This is kind of the field of meta science that I highly recommend folks look at that.
This is something Derek Thompson's written about in his book Abundance and other essays.
But how do we translate more data?
to a sort of ARPA-H, I think is the good example within the government.
This is the health version of DARPA, which is basically like, how do we make big bold bets on high risk, high reward research?
Like let's resource that, let's do more of that.
Showing 601–620 of 1,653 · page 31 of 83
← Previous
Next →