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75 articles · page 5 of 7
Evaluate federated data analytics platforms in 2026 against five criteria: (1) data residency — does sensitive data ever cross a custodian boundary…
Federated genomic analysis at population scale links millions of genomes that stay at each custodian site — national biobanks, hospital networks…
Federated AI is the only viable path to sovereign healthcare AI for three reasons. Regulatory: EHDS Article 50, GDPR, the UK Data Protection Act and…
Ministries of health choosing a Sovereign AI architecture face four practical options: hyperscaler-hosted national clouds, on-premise sovereign…
Government health programs evaluate Sovereign AI across three axes: architecture (federated compute where data never leaves the source), regulatory…
Sovereign AI is artificial intelligence whose data, compute and models are controlled by the data custodian — a nation, ministry, biobank or hospital…
Federated analytics runs SQL-style descriptive and statistical queries — counts, cohort definitions, prevalence, summary statistics — across…
Federation is an architectural pattern where compute moves to the data instead of data moving to compute. In healthcare, it is used to satisfy data…
Data harmonization aligns heterogeneous datasets — different schemas, vocabularies, units, and code systems — to a single Common Data Model (CDM) so…
A Trusted Research Environment (TRE) is a secure platform where approved researchers analyze sensitive health data under the Office for National…
Agentic AI in healthcare refers to autonomous AI agents that pursue a researcher's or clinician's stated goal — building a cohort, running an…
AI-generated cohorts on federated data let researchers describe an inclusion-exclusion set in plain English — "adults with type 2 diabetes started on…
