Sufal Deb@sufaldeb
Sufal Deb
RT @NornGroup: If we’re optimistic about what AI will do for medicine, we should be collecting the data it will need to deliver.
In other words: we already plan for future compute demand by building datacenters. We should also build biological datasets to meet anticipated demand from abundant intelligence.
Our next Impetus round will fund AI-enabling datasets and the tools to generate them. We’ve raised $9M toward our $15M goal. If you’d like to help build the datasets that future biomedical AI will depend on, donate here:
That includes data linking molecular and cellular changes to measured outcomes in organs and people. Some projects will start experiments that take years to mature; others can build on years of observation already completed.
Projects could include:
- Existing cohorts and trials: adding richer measurements of stored samples and linking them to recorded health outcomes.
- Experiments in living organisms: testing interventions and measuring cellular responses within diseased organs.
- New measurement tools: extracting more biological information from routine samples, such as blood.
- Adaptive clinical trials: testing AI-generated hypotheses and adapting as evidence accumulates.
Learn more:
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