Integrating Neuronet Technologies into the JEMYS SORS System

Integrating Neuronet Technologies into the JEMYS SORS System

During the report

Another step has been taken towards increasing the functionality of the platform of our System for Description, Recommendations and Statistics (SORS).

Work on the creation of decision support systems using artificial intelligence (AI) technologies planned under the cooperation agreement between YSAR+ JSC, Shvabe JSC and N.N. Blokhin Russian Cancer Research Center of the Ministry of Health of the Russian Federation was given renewed momentum

The parties’ experts held a meeting in the Cancer Research Center, at which they addressed the topical issue of improving the existing, and searching for new effective methods to diagnose COVID-19. Sergey Dyachenko, Deputy Director of YSAR+ JSC, delivered an overview of neural network algorithms


Based on the results of the discussion, the meeting participants decided to form a working group for the creation and mapping of a training dataset, on the basis of which the proposed neural network algorithms will be configured and tested as part of a comprehensive SORS solution.

The release of a business-ready version of the SORS system registered with the Federal Service for Surveillance in Healthcare (Roszdravnadzor), with a decision support module using artificial intelligence technologies, is scheduled for the 3rd – 4th quarter of 2020.