DBTB INT Brian Carlsen r
summary
Argues that the National Library of Medicine’s UMLS is a giant, messy medical thesaurus worth using, that public datasets paid for by taxpayers need the engineering discipline of open-source practices to be widely useful, and that federal and state releases are already accelerating access. Mentions practical data types — minutes slept, steps, calories — and shows the conference video as a node in devreal.ai, a developer community graph that links interview, transcript and profiles and demonstrably stitches resources together.
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