Advanced, Personalised, Multi-Scale Computer Models Preventing Osteoarthritis
About the project:
Start: 1 November 2017
UE funding: 4 984 033,75€
Coordinator: EDEX - EDUCATIONAL EXCELLENCE CORPORATION LIMITED (Cyprus).
Through OActive project a multi-scale holistic analysis will be adopted, where patient specific information from various levels, including moleculare (e.g. biochemical/inflammatory biomarkers), cell, tissue and whole body, will be integrated and combined with information from other sources such as, environmental, behavioural and social risk factors to generate robust predictors for new personalised interventions for delaying onset and/or slowing down progression of Osteoarthritis (OA).
OActive targets patient-specific OA prediction and interventions by using a combination of mechanical computation models, simuations and big data analytics. Augmentet Reality (AR) empowered interventions will be developed in a personalised framework allowing patients to experience the treatment as more enjoyable, resulting in greater motivation, engagement, and training adherence.
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.