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Stratification of Rheumatoid Arthritis: Computational models to personalize management

strategies for difficult-to-treat disease (STRATA-FIT)

The STRATA-FIT consortium sets out to develop and validate computational models to identify and stratify Difficult-to-treat rheumatoid arthritis (D2T RA) patients into clinically relevant phenotypes using real world clinical data.

D2T RA is a subgroup of rheumatoid arthritis patients and it is an area of huge unmet medical need with major socio-economic consequences for patients and society. Contributing factors have been identified including co-morbidities, drug-related, biological and behavioral factors.

However, identifying these patients with specific underlying and overlapping problems, or patients at risk, is a big challenge in practice. Currently, treatment decisions are random and not sufficiently patient tailored nor data-driven.

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Funded by the European Union (grant agreement no. 101080243). Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or the European Health and Digital Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
The project has also received funding from the Swiss State Secretariat for Education, Research and Innovation (SERI) and from Hungary’s National Research, Development and Innovation (NRDI) Fund.