SANA offers a secure regulatory and legal framework to promote collaboration between different stakeholders or institutions.
It is now possible to collaborate with other stakeholders in the context of a multicentric study, without having to share your data or modify the infrastructure of your Health Data Warehouse (EDS). This concept ensures the confidentiality of your data while preserving your original technical environment.
SANA is a complies workspace and a secure storage environment, allowing treatment and an analyse the personal health data. The stakeholders of multicentric study realize a data extraction needed in their health data warehouse and transfer them on SANA platform.
The plateform architecture is co-developed with projects managers and Euris. The platform is devided into a private workspace where data are stored and isolated from each other. Every workspace contains the Federated Learning tool allowing the realization of multicentric study.
The purpose of SANA platform is to offer a tool promoting the realization of multicenter studies by collecting data enriched specifically and individually by each project leader / data holder in a common space of shared data, intended to:
SANA is the first multicentric study platform who allow you to conduct your clinical research without sharing your data
The Federated Learning is a technology allowing a many remote parties to collaboratively trains a AI model, without sharing data. Each party trains a local model using a private dataset.
Only the local model is sent to the central node to improve the quality of the global model, which benefits all parties. This same training is repetead until all parties are satisfied.
This platform proposed by Euris is intended for private and/or public actors, such as health institutions, institutes or research centers, health cooperation groups, public interest groups, manufacturers of health products (medicines medical devices, etc…), cosmetics manufacturers, pharmacy group or companies accompanying health actors who may, after the completion of the prior formalities provided for by the regulations, carry out “turnkey” multicenter studies whether using a shared workplace or a secure workspace. In the context of theses workspaces, data holders will be considered as data controllers.
