Showcasing the Great Ormond Street – Aridhia SDE at HDR UK 2025
GOSH & Aridhia showcased their SDE at HDR UK 2025, highlighting EHDS, OMOP, data federation and AI trends, with strong interest in the platform’s capabilities.
UK TRE 2025 highlighted the rise of federation, smarter automated disclosure control and the need for sustainable, well‑supported TREs to enable secure research
Unlocking Global Proteomics Collaboration: How Aridhia Enabled the GNPC
Our DRE enabled GNPC to securely curate, harmonize and analyze global proteomics data, powering large‑scale collaboration and new neurodegeneration insights.
Running the ACRO Library and SACRO App Securely in the Aridhia DRE
We’re passionate about enabling secure, collaborative research, so we’re excited to showcase how the ACRO library and SACRO app now run natively within our DRE.
How the DRE Accelerates Regulatory Impact of Consortium-Based Projects
Our DRE powers C‑Path consortia with secure, standardised data, collaboration & audit - accelerating regulatory‑ready evidence and faster therapy development.
Building a Federated Trusted Research Environment
Aridhia shows DRE workspaces can act as federated infrastructure and plans organisational FN ownership in 2026 to enable scalable, self‑service data federation.
Joining the TREvolution – Aridhia, DARE UK and Data Federation in Trusted Research Environments
Aridhia joins DARE UK’s TREvolution to advance TES‑based data federation, aiming to use DRE workspaces as scalable, self‑service federated infrastructure.
Federated Node AI: A Prototype for Prompt-Based Data Interaction
Federated Node AI tests with SLMs for prompt‑based federated analysis showing FN can relay prompts, run tasks & return results while exploring future workflows
Aridhia Attends 2025 PHEMS Conference
We joined the 2025 PHEMS conference, demoed federated cardiology benchmarking, gathered deployment feedback, and now advance ML and AWS‑ready node updates.
A Novel Approach to Sharing in the PHEMS Federated Network
How the Aridhia DRE enables secure, efficient data sharing across the PHEMS federated network to support faster, collaborative emergency medical research.
