Replica Analytics and Euris Launch Cloud-Based Data Synthesis Platform

News Release

(Ottawa, June 2, 2021) Replica Analytics, a leading provider of health data synthesis technology, is partnering with Euris Health Cloud® bringing to market a unique and easy-to-use cloud-based data synthesis solution: Replica Synthesis. While Euris Health Cloud provides a secure hosting platform designed to meet strict regulations for the processing of personal health information in Europe, Replica Synthesis allows users to upload their data or access their existing data on the Euris platform. More details are available here.

 

Replica Synthesis rapidly trains generative models and creates synthetic variants of data that retain the statistical properties and patterns in the original data. The synthetic data are non-identifiable information and can be used and disclosed with minimal constraints, and the generative models can be further used as simulators.

 

Replica Synthesis is designed to meet the huge demand for high quality health data for AI modeling and classical epidemiological analysis. Comprehensive utility reports are produced comparing the real and synthetic data, allowing users to assess the quality of data synthesis immediately. More details will be available at our webinar on 17th June.

“Our Replica Synthesis software is a natural fit for the data governance and analytics environment in Aridhia’s DRE platform, now making it much easier to get started with data access within and across the enterprise. Our two companies together provide clients with a one-stop offering to leverage their health data today.”

Khaled El Emam, CEO of Replica Analytics
 

 

“The Replica team brought to market a scalable platform for data synthesis – greatly simplifying the machinery of data synthesis. The Euris partnership means that data can remain in Europe and only the synthetic variants need to be transferred elsewhere – solving a dilemma with international data transfers.”

Pedro Lucas, CEO of Euris Health Cloud

 

Share on social: