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.
Discover how the Aridhia DRE serves as a powerful hub for training in quantitative sciences, enabling secure, hands‑on learning with real‑world data.
Jeff Barrett
See how the Aridhia DRE aligns with the 2025 SATRE specification, delivering secure, scalable and standards‑driven environments for modern research.
Ross Stiven
Discover how Aridhia’s DRE becomes your own—delivering secure, scalable, ready‑to‑use research environments that accelerate collaboration and innovation.
Kara Lasater
Jeff Barrett
How the Aridhia DRE is supporting cancer research at The Royal Marsden, enabling secure data access and accelerating clinical insights.
Alicia Gibson
Aridhia’s 2025 strategic insights on AI, data hubs, and federation, and what they mean for the future of secure health data ecosystems.
Ross Stiven
Laura Shishodia
Exploring how federated analysis improves privacy and enables secure, trustworthy access to COVID‑19 research data.
Andrew Fox-McKay
How SDEs offer a cost‑effective, sustainable approach to managing health data while enabling secure research and long‑term value.
Dr Kim Carter
An experiment using offline LLMs within a Secure Data Environment to enable safe, privacy‑focused AI research.
Dr Kim Carter
Aridhia's open-source Federated Node supports cross-TRE federated analysis, now powering the PHEMS network and available to integrate with the Aridhia DRE.
Ross Stiven
Aridhia with EPND and PHEMS: integrating the AD Workbench with the EPND catalogue and building the open-source Federated Node for the PHEMS network.
Ross Stiven
The Aridhia Federated Node — built on the Common API, released under GNU GPL V3, and designed for federated analysis across Trusted Research Environments.
Ross Stiven
How AI and the Aridhia DRE enable model-informed precision dosing: integrating patient-level PK/PD data across institutions for individualised pharmacotherapy.
Jeff Barrett
