Academy of Finland
Funding decision
 
Applicant / Contact person Korhonen, Rami
Organisation University of Eastern Finland
Project title A novel tool for personalized and socio-economically optimal treatment planning for patients with osteoarthritis
Decision No. 334773
Decision date 21.11.2019
Funding period 01.01.2020 - 31.12.2022
Funding 199 958
WebFOCUS Report
Project description
Osteoarthritis is the most common joint disease affecting over 40 million Europeans. There is no cure for the disease. Thus, the most effective treatment for the disease would simply be prevention. That is currently problematic and proper preventive actions should be guided by personalized prediction of the disease progression. The aim of the DEEPMECHANOKNEE project is to develop an accurate and fast method to predict the progression of knee osteoarthritis over time. In the novel method, a multi-scale biomechanics and computational modelling, imaging, and clinical data are combined with a deep learning algorithm. Through simulations, the method can indicate (optimize) the best possible personalized treatment for a patient that could ultimately prevent or delay the progression of knee osteoarthritis. The treatment could be a changed lifestyle, tailored rehabilitation, or a specific surgical intervention. The socio-economic impact of this approach is expected to be significant.