STRATA-FIT
Strategies for difficult-to-treat disease
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.
This project was awarded funding by Horizon Europe in 2022.
The Project Lead
Partners
- EULAR, Zürich, Switzerland
- Instituto de Medicina Molecular, Joao Lobo Antunes
- Karolinska Institutet, Stockholm, Sweden
- Karolinska University Hospital, Stockholm, Sweden
- LMU, München, Germany
- LMU Klinikum, München, Germany
- Medizinische Universität Wien, Wien, Austria
- Medical Data Works, Maastricht, The Netherlands
- Semmelweis University, Budapest, Hungary
- UMC Utrecht, Utrecht, The Netherlands