22/
I'm thinkin' that Joe-the-Plumber hasn't yet figured out how transformative this @MayoClinic / @MayoInvents
federated learning model could be.
-
Prikaži ovu nit
-
23/ John Halamka (
@jhalamka ), President of Mayo Clinic Platform, posted his own take on their federated learning model: "Cloud-hosted, de-identified, federated learning in which the tools are brought to the data instead of sending data to the tools" http://geekdoctor.blogspot.com/2020/01/a-new-model-for-sharing-insights-while.html …1 reply 0 proslijeđenih tweetova 3 korisnika označavaju da im se sviđaPrikaži ovu nit -
24/ Thinking out loud re: further possible implications of
@MayoClinic platform partnership w/@_nference. Q. What biz model(s) could maximize potential for network effects, especially DATA network effects?1 reply 0 proslijeđenih tweetova 0 korisnika označava da im se sviđaPrikaži ovu nit -
25/ What are "data network effects"? "When a product’s value increases with more data, and when additional usage of that product yields data..."http://bit.ly/3aDWlBJ
1 reply 0 proslijeđenih tweetova 0 korisnika označava da im se sviđaPrikaži ovu nit -
26/ Consider alternative federated learning models: a) AI/ML algorithms can be run on one provider's data -- likely a few million patients b) AI/ML algorithms can be run on multiple providers' data -- possibly HUNDREDS OF MILLIONS of patients over time c) ??
0 proslijeđenih tweetova 0 korisnika označava da im se sviđaPrikaži ovu nit -
27/ Data network effects will grow exponentially based on number of patients. Could be especially important where n of patients is very low, e.g. rare diseases (HT
@bertcmiller ) My hypothesis (speculation) is that win/win biz model is (b). Why?0 proslijeđenih tweetova 1 korisnik označava da mu se sviđaPrikaži ovu nit -
28/ From deals announced so far that I've seen, big tech co. (e.g.
@Google) partnering w/ providers has been prohibited from combining one provider's data w/ another. I infer due to: * fear of PR backlash * lack of trust of big tech co. * lack of using a FL model? * other?1 reply 0 proslijeđenih tweetova 0 korisnika označava da im se sviđaPrikaži ovu nit -
29/ BUT...if the "network" was viewed as controlled by Mayo -- using FL tech -- IMO there's potential for higher level of trust and potential for combining data ACROSS providers. A win/win biz & clinical model? Speculative for now but potential is there.
1 reply 0 proslijeđenih tweetova 0 korisnika označava da im se sviđaPrikaži ovu nit -
30/ Also worth thinking about biz model implications from Mayo partner POV, i.e,
@_nference. Do they have an opportunity to be a hub/platform across networks of patient data? The co. secured a $60 M earlier this month, including@MayoInvents1 reply 0 proslijeđenih tweetova 1 korisnik označava da mu se sviđaPrikaži ovu nit -
31/ We don't know the terms of the investment or the terms of the contract between
@_nference &@MayoClinic, so it's hard to speculate. ...but worth keeping an eye on this.1 reply 0 proslijeđenih tweetova 1 korisnik označava da mu se sviđaPrikaži ovu nit
32/
Detailed dive into @_nference & @MayoClinic partnership
by @nversel http://bit.ly/37Ln5OH
"What Nference & Mayo are beginning to do together is to understand the human genotype-phenotype relationship at a scale here that is likely unprecedented"
-- @in4ence, CEO nference
-
-
33/ More broadly, the
@MayoClinic Platform increasingly looks COMPETITIVE to the Google Health Platform: Google Health’s Platform Play: Is Google Creating the Android for Doctors? |@Applicohttp://bit.ly/37MKUpq1 reply 0 proslijeđenih tweetova 1 korisnik označava da mu se sviđaPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
-
Čini se da učitavanje traje već neko vrijeme.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.