Russia launches its first medical data platform for research and treatment evaluation
A collaborative effort by Sechenov University, Yandex Cloud, and Beltel Datanomics has produced Russia’s inaugural medical data platform dedicated to scientific research and assessing the effectiveness of treatment methods across different patient groups. The development was outlined to socialbites.ca by representatives of the First Moscow State Medical University named after him, Sechenov.
By 2024, access to the platform will extend to more than a thousand university staff members. The plan includes gradually linking additional data sources, creating visualizations, and enabling query operations powered by the YandexGPT neural network.
To date, the platform hosts 18 million unique medical documents along with anonymized patient data. Experts can assemble live clinical datasets in seconds and filter results across up to 150 parameters such as gender, age, patient symptoms, and other characteristics.
The interface presents as a web-based workspace with searchable cells for documents and datasets. Users can locate information by keywords and refine results with a range of filters. For instance, it is possible to identify all recorded diabetes cases in individuals aged 20 to 50. The system automatically surfaces relevant documents that reference x-rays, laboratory results, CT scans, MRI studies, and other diagnostic records.
Officials say the platform accelerates data collection for scientific work, educational studies, and publication efforts. Tasks that previously required months of archival digging can now be accomplished in minutes by selecting the right search parameters. There is an expectation that more healthcare organizations will connect to the platform over time, enabling data sharing and joint scientific discovery. A deputy director overseeing the development of clinical and educational projects at the First Moscow State Medical University described the platform as a conduit for broad collaboration with the scientific community and AI service developers, including options for commercial data sharing. Konstantin Brazhnikov of the Sechenov Ministry of Health of the Russian Federation is a key figure in this initiative.
Previously, researchers had already created an algorithm for personalized cancer diagnosis as part of the broader program aimed at advancing medical analytics and AI-assisted healthcare insights.