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 the new Aridhia SaaS DRE—built to deliver faster onboarding, seamless collaboration, and secure, scalable research environments for modern data teams.
David Sibbald
Discover how Aridhia integrates Azure MLOps into the DRE to streamline AI workflows, accelerate model deployment, and power secure, scalable research innovation
Alicia Gibson
Explore the latest Aridhia DRE feature upgrades for Q1 2025, delivering faster workflows, smarter automation, and a more powerful research experience.
Andrew Fox-McKay
Aridhia and Sydney Children’s Hospitals Network partner to drive data‑powered transformation and improve paediatric care through secure digital innovation.
Andrew Fox-McKay
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
