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.
The Aridhia Federated Node — built on the Common API, released under GNU GPL V3, and designed for federated analysis across Trusted Research Environments.
How AI and the Aridhia DRE enable model-informed precision dosing: integrating patient-level PK/PD data across institutions for individualised pharmacotherapy.
Key takeaways from the UK TRE Community Annual Meeting — federation, SATRE accreditation ambitions, and the push for shared TRE terminology.
How Aridhia is integrating AI into the DRE — vector search for FAIR data discovery, LLM metadata summaries, and AI-assisted airlock and federated code review.
How the Aridhia network effect drives health data research with collaboration, federated access, and standardisation across 21 DRE hubs in 89 countries.
Aridhia DRE and the PLUTO trial at GOSH. Data from 144 children across 10 UK sites, analysed to identify the safest fluid for paediatric kidney transplants.
How the Aridhia DRE powers the Liver Cancer Collaborative: Integrating clinical, genomic, and imaging data for precision medicine and federated cancer research.
Aridhia DRE and the open-source Federated Node enabling GDPR-compliant federated analysis across the PHEMS Europe-wide paediatric hospital consortium.
GxP workarounds create compliance and audit risk. How the Aridhia DRE reduces GLP, GCP, and GMP non-compliance exposure in pharmaceutical research.
A DIY Trusted Research Environment costs $1.6M+ per year. Robert Bryce breaks down the full TCO and compares it with buying from a commercial vendor
How the Aridhia DRE goes beyond SATRE: FAIR metadata catalogue, configurable DAR workflows, Cohort Builder, pre-installed tooling, and federated analytics.
How the DRE supports medical imaging research: DICOM interoperability, AI and deep learning for image analysis, FAIR data management for global collaboration
