Innovating Works

STRATA-FIT

Financiado
Stratification of Rheumatoid Arthritis: CompuTational models to personalise mAna...
Stratification of Rheumatoid Arthritis: CompuTational models to personalise mAnagement strategies for difFIcult-to-Treat disease Difficult-to-treat rheumatoid arthritis (D2T RA) 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-relat... Difficult-to-treat rheumatoid arthritis (D2T RA) 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. Therefore, the STRATA-FIT consortium sets out to develop and validate computational models to identify and stratify D2T RA patients into clinically relevant phenotypes using real world clinical data. We will also measure biomarkers of inflammation to further characterise these phenotypes. Subsequently, we will execute a pilot study with a clinical decision aid based on our models to assess the effectiveness of personalised treatment strategies. In parallel we will develop a computational model to identify early RA patients at risk of developing D2T RA. By doing so, not only will we provide better treatment for patients with D2T RA, but also work towards its prevention in early RA patients. STRATA-FIT will establish a unique European Learning Healthcare System, using a privacy-proof, state-of-the-art federated learning infrastructure in which patients with, or at risk of D2T RA are identified, stratified and treated in a personalised manner. STRATA-FIT builds on previous work by consortium partners, who initiated and lead the European Task Force on developing points to consider for managing D2T RA. It brings together clinical experts, patient research partners and clinical-, biological-, data- and computer-scientists to tackle this major clinical challenge. When successful, STRATA-FIT will lead to more (cost-) effective D2T RA care and will greatly improve the quality of life of D2T RA patients while lowering the burden of D2T RA on Europe’s health care systems and society. ver más
30/04/2029
UMC UTRECHT
6M€
Perfil tecnológico estimado
Duración del proyecto: 72 meses Fecha Inicio: 2023-04-07
Fecha Fin: 2029-04-30

Línea de financiación: concedida

El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-04-07
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
HORIZON-HLTH-2022-TOOL-12-01-two-stage: Computational models for new patient stratification strategies
Cerrada hace 2 años
Presupuesto El presupuesto total del proyecto asciende a 6M€
Líder del proyecto
UNIVERSITAIR MEDISCH CENTRUM UTRECHT No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5