The latest thinking from Aridhia on health data research, Trusted Research Environments, secure AI, federated analytics, SATRE, and the European Health Data Space. The technology and policy developments shaping how sensitive data research gets done.
Why Aridhia DRE enterprise users are well placed to become Trusted Health Data Holders under EHDS Article 72. The final post in our latest EHDS series.
AIRAlock egress review now supports ACRO and SACRO output checking, plus offline AI models including UK sovereign LLMs, all running inside the TRE boundary.
TEHDAS2 D7.4, published June 2026, defines how EHDS SPEs should work in practice. Scott Russell maps Aridhia DRE Workspaces to its requirements.
We explore five researcher scenarios mapped to the TRE capability maturity model from controlled dataset access to strategic federated research platforms.
What level of TRE capability does your organisation need? Robert Bryce proposes a seven-layer capability maturity model for Trusted Research Environments.
FAIR Data Services and EHDS Article 60 — Health DCAT-AP catalogue templates, data validation, and open API integration with national catalogues.
How does the Aridhia DRE measure up against the EOSC-ENTRUST TRE survey? Ross Stiven covers all nine sections from security certifications to EHDS alignment
Egress review is where TRE protections stand or fall. AIRAlock combines a rule engine with offline AIRA advisory for consistent, auditable disclosure review.
Discover how the Aridhia DRE supports OMOP adoption, from data harmonisation and validation in FAIR to cohort analysis tools in secure Workspaces.
AI agents on sensitive research data: Biomni and ClawBio inside the Aridhia DRE for biomarker analysis, variant classification, and polygenic risk scoring.
Aridhia DRE as a federated Trusted Research Environment. Ross Stiven maps DARE UK and Flower implementations against the Federated Research Patterns Framework.
Q1 2026 DRE updates: Biomni and Claude Code in AIRA, timebound restrictions, JupyterLab, native OMOP and SDTM support, and geo-locked datasets in FAIR.
