What is a DRE?
A place where modern data science collaboration happens – safely, securely and effectively.
The Aridhia DRE is designed specifically for health data science. Whether you’re a healthcare professional with an interest in data science, or a data scientist with an interest in healthcare, the Aridhia DRE has been created with you in mind.
Use our FAIR data services to catalogue, curate and authorise access to your data.
Bring a multi-disciplinary team together in your own private workspace. Work together on the data.
Choose your analytics – from self-service biomedical stats to advanced machine learning pipelines.
A secure, audited environment built to enable project collaboration, data sharing and analysis with powerful custom-built tooling.
Make data Findable, Accessible, and improve Interoperability for Reusable research.
How useful would it be to be capable of forecasting the outcome of a clinical trial before you’ve completed it? What if you could use the data from historical trials to predict it? You could save hundreds of thousands of pounds that would have otherwise been poured into an ultimately needless Phase 3 trial. Novartis is hoping to answer this by running their global month-long Data Science & AI (DSAI) Challenge. The further aim though, is to demonstrate the investment potential in developing an analytics environment that Novartis can use in the future to answers questions just like this one. They’re using the Aridhia Digital Research Environment (DRE) on Azure to help them do so. Read more ➜
Aridhia, in their partnership with the European Prevention of Alzheimer’s Dementia Consortium (EPAD), are proud to facilitate the latest EPAD data release, the V1500.0. This contains the baseline data collection of the first 1500 participants of the EPAD Longitudinal Cohort Study (LCS). Aridhia uses its Digital Research Environment to harmonise data from multiple contributors across Europe into an open longitudinal cohort dataset that enables adaptive, multi-arm proof of concept studies to be undertaken, in order to trial novel interventions for disease prevention. All these inputs (cognitive, biological sample data, derived imaging data, etc.) are ingested through Aridhia’s health data model to generate EPAD’s formal data releases. Read more ➜
We are continuing to grow and develop the Aridhia technical team at an incredibly exciting stage in our business journey. Alongside our existing successful partnerships with high profile clients such as Great Ormond Street Hospital, NHS Scotland, universities and research institutes, Aridhia is increasingly making inroads into large pharma clients and large-scale collaboration projects. To support our growth needs and the ongoing development of our products and services we continue to invest in growing and developing our team and are now looking for an experienced Customer Support Team Lead, in either our Glasgow or Edinburgh offices. Read more ➜