PRIMUS Beta version (Research Use Only) - Home Page

PRojections In MUltiple Sclerosis (PRIMUS) is a precision medicine platform project in multiple sclerosis (MS) based on the reuse of clinical research data for clinical decision support. It is led by a consortium of academic, IT, and pharmaceutical companies and supported in part by the French National Research Agency (Agence Nationale de la Recherche, ANR) as its 3rd PIA, integrated to France 2030 plan under reference [ANR-21-RHUS-0014].

See the offical project description by the Rennes University Hospital.

MS is a chronic autoimmune disease of the central nervous system (brain + spinal cord) affecting 2-3 Millions people worldwide. Numerous disease modifying treatments are approved on the market. Yet, disease activity, progression, and therapeutic responses are highly variable, calling for precision medicine.

The PRIMUS platform aims at providing neurologists and neuroradiologists several modules to support precision medicine along the whole MS care pathway.

• A brain MRI viewer with AI-powered lesion segmentation and counting
• A clinical decision support system for treatment selection based on the visualization of similar patients data

This website presents the contribution of Nantes University and the Nantes University Hospital to the research work on the clinical decision support system module and gives test users access to preclinical prototypes.

Preclinical benchmarking prototype (internal exploratory research)

Collaborative data visualization prototype - Internal testers only Machine learning prototype - Internal testers only API endpoint to the prototypes - Internal testers only

Clinical prototype (clinical investigation; WP6)

--> Expected by 2025. See the clinical prototype website (Clinical investigators only)

Funding

Academic partners

Pharmaceutical partners

Information technology partners

A distributed data mart

Distributed and centralized analytics

Web interface

Randomized clinical trials

Observational studies

Synthetic data as a privacy-enhancing technology

• Demuth S., Ed-Driouch C., Dumas C., Laplaud D., Edan G., Vince N., De Sèze J., Gourraud P.-A. Scoping review of clinical decision support systems for multiple sclerosis management: Leveraging information technology and massive health data. Eur J Neurol. 2024 Jun 11:e16363. https://doi.org/10.1111/ene.16363
• S. Demuth, J. Paris, I. Faddeenkov, J. De Sèze, P.-A. Gourraud, 2024. Clinical applications of deep learning in neuroinflammatory diseases: A scoping review. Revue Neurologique, Epub ahead of print. https://doi.org/10.1016/j.neurol.2024.04.004
• Ed-Driouch, C., Chéneau, F., Simon, F., Pasquier, G., Combès, B., Kerbrat, A., Le Page, E., Limou, S., Vince, N., Laplaud, D.-A., Mars, F., Dumas, C., Edan, G., Gourraud, P.-A., 2022. Multiple sclerosis clinical decision support system based on projection to reference datasets. Ann Clin Transl Neurol 9, 1863–1873. https://doi.org/10.1002/acn3.51649
• Ed-Driouch, C., Mars, F., Gourraud, P.-A., Dumas, C., 2022. Addressing the Challenges and Barriers to the Integration of Machine Learning into Clinical Practice: An Innovative Method to Hybrid Human-Machine Intelligence. Sensors (Basel) 22, 8313. https://doi.org/10.3390/s22218313