We explore five researcher scenarios mapped to the TRE capability maturity model from controlled dataset access to strategic federated research platforms.
Dr Kim CarterDiscover how Aridhia’s DRE becomes your own—delivering secure, scalable, ready‑to‑use research environments that accelerate collaboration and innovation.
How the Aridhia DRE is supporting cancer research at The Royal Marsden, enabling secure data access and accelerating clinical insights.
Aridhia’s 2025 strategic insights on AI, data hubs, and federation, and what they mean for the future of secure health data ecosystems.
Exploring how federated analysis improves privacy and enables secure, trustworthy access to COVID‑19 research data.
How SDEs offer a cost‑effective, sustainable approach to managing health data while enabling secure research and long‑term value.
An experiment using offline LLMs within a Secure Data Environment to enable safe, privacy‑focused AI research.
Aridhia's open-source Federated Node supports cross-TRE federated analysis, now powering the PHEMS network and available to integrate with the Aridhia DRE.
Aridhia with EPND and PHEMS: integrating the AD Workbench with the EPND catalogue and building the open-source Federated Node for the PHEMS network.
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.
