Description du projet
Une vision globale de l’arthrose
L’arthrose est une maladie dégénérative courante des articulations qui touche principalement les personnes âgées, mais aussi les jeunes et les athlètes. Elle est responsable de douleurs articulaires, limite la mobilité et réduit l’indépendance et la qualité de vie en général. Bien que divers facteurs de risque aient été impliqués dans le développement de l’arthrose, il convient d’intégrer des informations spécifiques au patient au niveau de la cellule, du tissu, de l’organe et du corps. Le projet OACTIVE, financé par l’UE, entend combler cette lacune en adoptant une approche globale qui combine des données spécifiques au patient avec des informations provenant de biomarqueurs, de la modélisation du comportement et de facteurs environnementaux. Les chercheurs entendent développer des interventions personnalisées permettant de retarder l’apparition et ralentir la progression de l’arthrose, en s’appuyant également sur la réalité augmentée, afin d’accroître la motivation et l’engagement des patients.
Objectif
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.
Champ scientifique
- medical and health sciencesclinical medicinerheumatology
- medical and health sciencesbasic medicinephysiologypathophysiology
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
Programme(s)
Régime de financement
RIA - Research and Innovation actionCoordinateur
1700 Nicosia
Chypre