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.
Kim Carter, Chief Data Officer at Aridhia, gives some examples of how to use R in Workspaces to make large scale data analysis more efficient and scalable.
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.
Aridhia joins DARE UK’s TREvolution to advance TES‑based data federation, aiming to use DRE workspaces as scalable, self‑service federated infrastructure.
UK TRE 2025 highlighted the rise of federation, smarter automated disclosure control and the need for sustainable, well‑supported TREs to enable secure research
Federated Node AI tests with SLMs for prompt‑based federated analysis showing FN can relay prompts, run tasks & return results while exploring future workflows
Workspaces 4.0 delivers major upgrades: native Office editing, embedded AI, custom app registry, easy DB creation, background tasks, tighter security and more.
This blog explains what vector search is, details the changes we have made to integrate it with FAIR, and how hub owners can enable and optimise this service.
Our DRE enabled GNPC to securely curate, harmonize and analyze global proteomics data, powering large‑scale collaboration and new neurodegeneration insights.
Aridhia’s Aira framework delivers secure offline AI in the DRE, enabling compliant, auditable model use for healthcare research without exposing sensitive data.
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.
EHDS enables EU‑wide health data use with a patient opt‑out. Aridhia’s FAIR platform supports dynamic consent with secure, auditable data management.
Our DRE streamlines OMOP use today and plans a CDM framework to automate metadata, schemas, search and cross‑dataset cohorts for smoother research workflows.
