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839 articles · page 7 of 70
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…
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…
A Trusted Research Environment (TRE) achieves multi-jurisdictional compliance by mapping a single technical control set onto three overlapping…
Organizations migrate from centralized data warehouses to federated Trusted Research Environments (TREs) because warehouses concentrate raw patient…
A federated Trusted Research Environment (TRE) compresses clinical trial cohort discovery from weeks to hours by pushing a single eligibility query…
No — the National Library of Medicine (NLM) is not itself a peer-reviewed journal. It is a research library and institution within the United States…
AI personalizes medicine in 2026 by combining whole-genome data, longitudinal electronic health records and real-world outcomes to predict which…
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