The openai foundation put 125 million into public health datasets on september 15, including 15…
the openai foundation put 125 million into public health datasets on september 15, including 15 million for openadmet, an open competition to predict how drug candidates are absorbed and metabolized before they fail. roughly 90 percent of clinical failures trace back to properties like these.
funding the data instead of the models is the part of AI for science nobody is racing to copy.
Context
The OpenAI Foundation's page of 15 September 2026 says it is starting by supporting more than 125 million dollars in grants across an initial tranche of nonprofits and universities, under its second science program, Public Data for Health, to fund creation and preservation of public scientific datasets. UCSF says it received 15 million dollars in support from the OpenAI Foundation, for OpenADMET.
This is grant support, awarded or pledged, and no text read shows amounts disbursed. More than 125 million is a floor. The 15 million figure is from UCSF, the grantee, and was not found in the Foundation page text searched. The note's roughly 90 percent of clinical failures trace to these properties is stronger than the source, which says 90% of drug candidates fail in clinical trials, often due to the difficulty of predicting how they will be absorbed and move around the body, which is not the same claim.
Watch next
- Disbursement data and the Foundation's grantee list.
Sources
Provenance
The note above is reproduced unedited from the original post, first published on Threads on 18 September 2026 at 21:50 IST. Sources are the papers and datasets the note draws on.
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