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OACTIVE

Financiado

Cerrado

Advanced personalised multi scale computer models preventing OsteoArthritis

Osteoarthritis (OA) is a degenerative disease of the articular cartilage and the most common form of arthritis that causes joint pain, mobility limitation and, thus, reduces independence and overall quality of life. Although the u... ver más

30/04/2021

UNIVERSITY OF NICO...

5M€

Presupuesto del proyecto: 5M€

Líder del proyecto

EDEX EDUCATIONAL EXCELLENCE CORPORATION LIMI... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 14 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-04-30

SC1-PM-17-2017: Personalised computer models and in... Specific Challenge:There is continuous progress in systems medicine, multi-scale modelling and patie...

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Características del participante

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

14 Participantes

UNIVERSITY OF NICOSIA

521.00K€ | Lider

NANOSCALE BIOMAGNETICS

350.00K€ | Participante

KU Leuven

354.06K€ | Participante

Fondazione Ri.MED

399.06K€ | Participante

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Duración del proyecto: 42 meses Fecha Inicio: 2017-10-16
Fecha Fin: 2021-04-30

Líder del proyecto

EDEX EDUCATIONAL EXCELLENCE CORPORATION LIMI... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 5M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Osteoarthritis (OA) is a degenerative disease of the articular cartilage and the most common form of arthritis that causes joint pain, mobility limitation and, thus, reduces independence and overall quality of life. Although the usual population associated with the condition is the elderly (65 years old ranges from 12- 30%), who are mostly inactive, athletes and younger individuals are also susceptible. Whilst the available data have implicated the role of the various modifiable or non-modifiable risk factors in the development and progression of OA, no study has conclusively explored the interaction and integration of other information sets in a patient-specific manner. The current OACTIVE project intents to make a significant leap forward adopting a multi-scale holistic approach where patient-specific information from various levels, including cell, tissue, organ and whole body will be integrated and combined with information from other sources such as biochemical/inflammatory biomarkers, behaviour modeling and social/environmental risk factors to generate robust predictors for new personalised interventions for delaying onset and slowing down progression of OA. OACTIVE targets to patient-specific OA prediction and interventions by using a combination of mechanistic, phenomenological computational models, simulations and big data analytics. Once constructed, these models will be used to simulate and predict optimal treatments, better diagnostics, and improved patient outcomes. Overcoming the limitation of the current treatment interventions, Augmented Reality empowered interventions will be developed in a personalised framework allowing patients experience the treatment as more enjoyable, resulting in greater motivation, engagement, and training adherence. OACTIVE’s mission is to improve healthcare by transforming and accelerating the OA diagnosis and prediction based on a more comprehensive understanding of disease pathophysiology, dynamics, and patient outcomes.

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