OActive From modelling to clinical predictive and interventional tools to treat OA

Osteoarthritis (OA) is a degenerative disease of the joints and the most common form of arthritis that causes pain and mobility limitation and, thus, reduces independence and overall quality of life. Osteoarthritis is a complex disease in which biochemical and biomechanical factors are involved and occurs mostly in the weight-bearing joints of the lower limbs, such as the hip and in particular the knee. This conference will provide new insights, towards the adoption of multi-scale holistic analysis, where patient-specific information from various levels, including molecular (e.g. biochemical/inflammatory biomarkers), cell, tissue, and whole body, will be integrated and combined with information from environmental, behavioural and social risk factors to generate robust predictors for new personalised interventions for delaying the onset and/or slowing down the progression of OA.

Join our discussions on how a combination of mechanistic computational models, simulations, and big data analytics can target patient-specific OA prediction and interventions. Overcoming the limitation of the current treatment interventions, Augmented Reality (AR) empowered interventions allow patients to experience the treatment as more enjoyable, resulting in greater motivation, engagement, and training adherence.

The medical care industry, research & education communities, stakeholders, and other relevant initiatives in the field of Osteoarthritis prevention, will gather together aiming to improve healthcare by transforming and accelerating the OA diagnosis and prediction based on a more comprehensive and holistic understanding of disease pathophysiology, dynamics, and patient outcomes.

This conference is held in the framework of the EU-funded OActive project: “Advanced personalised, multi-scale computer models preventing OsteoArthritis”, and will be attended by the EC Project Officer.