{"schema_version":"onlylabs.public_signal.v1","title":"Microsoft Repo: microsoft/healthcare-models-and-agents-workshop","description":"Microsoft repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/5f2efff7-00fe-4182-8b8b-17fd5c09cfcb","json_url":"https://onlylabs.fyi/signals/5f2efff7-00fe-4182-8b8b-17fd5c09cfcb/signal.json","generated_at":"2026-10-24T20:15:46.921Z","evidence_latest_fetched_at":"2026-10-17T07:03:54.455837+00:00","signal_first_seen_at":"2026-10-17T07:00:41.317048+00:00","org":{"slug":"microsoft","name":"Microsoft","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/microsoft","dossier_json_url":"https://onlylabs.fyi/labs/microsoft/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/5f2efff7-00fe-4182-8b8b-17fd5c09cfcb","signal_json":"https://onlylabs.fyi/signals/5f2efff7-00fe-4182-8b8b-17fd5c09cfcb/signal.json","source":"https://github.com/microsoft/healthcare-models-and-agents-workshop","lab_dossier":"https://onlylabs.fyi/labs/microsoft","lab_dossier_json":"https://onlylabs.fyi/labs/microsoft/dossier.json","analysis":"https://onlylabs.fyi/analysis/microsoft","analysis_json":"https://onlylabs.fyi/analysis/microsoft/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/microsoft/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Microsoft published microsoft/healthcare-models-and-agents-workshop (Python). 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The lab follows one brain MRI case from a bare LLM to a measured, context-aware report, and is organized into **three chapters**, each in its own folder under [`chapters/`](chapters/). Budget about **30 min setup** (do this before arriving) + **60 min content** across the three chapters. 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