OMOP in a Trusted Research Environment
Our DRE streamlines OMOP use today and plans a CDM framework to automate metadata, schemas, search and cross‑dataset cohorts for smoother research workflows.
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.
PHEMS Project Update 2026 – What We’ve Done So Far
Latest PHEMS progress, from Federated Node updates to network onboarding and the emerging audit and controls framework.
Exploring how federated analysis improves privacy and enables secure, trustworthy access to COVID‑19 research data.
Accelerating Secure Federated Learning with Aridhia DRE and Flower
Accelerate secure federated learning using Aridhia DRE and Flower to build production‑ready, privacy‑preserving multi‑site ML networks in days.
