Hmm, interesting. Yea I think ML is a much smaller field, too. ArXiv + all the conference / applied ml stuff is ~150-250k papers per year. PubMed is 1.5-1.7 million new records per year, and like 40,000,000 total records, whereas in ML we only had to process a couple million. Plus, pretty much all of ML is open-access, whereas medical is ~50% closed.
If somebody gave us a $10-$20m grant for compute, and a few (dozen) helpful doctors showed up to help us QA / figure out how to approach it, it could probably be done.
If somebody gave us a $10-$20m grant for compute, and a few (dozen) helpful doctors showed up to help us QA / figure out how to approach it, it could probably be done.