Descrizione del progetto
Un approfondimento olistico sull’osteoartrite
L’osteoartrite (OA) è una diffusa malattia degenerativa delle articolazioni che colpisce principalmente gli anziani, ma può interessare anche soggetti più giovani e atleti. Tale patologia provoca dolori articolari, limita la mobilità e riduce l’indipendenza e la qualità di vita complessiva degli individui che ne sono affetti. Sebbene siano già stati confermati vari fattori di rischio nello sviluppo dell’OA, è necessario integrare le informazioni specifiche dei pazienti a livello di cellula, tessuto, organo e corpo. Il progetto OACTIVE, finanziato dall’UE, mira a colmare questa lacuna adottando un approccio olistico che combina dati specifici dei pazienti con informazioni ricavate da biomarcatori, modelli di comportamento e fattori ambientali. I ricercatori dell’équipe di progetto mirano a sviluppare interventi personalizzati al fine di ritardare l’insorgenza e rallentare la progressione dell’OA, utilizzando anche la realtà aumentata per incrementare la motivazione e il coinvolgimento dei pazienti.
Obiettivo
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.
Campo scientifico
- 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
Programma(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SC1-2017-CNECT-2
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
1700 Nicosia
Cipro