To VPHi members
Digital twinning and In Silico Approaches to inform treatment and rehabilitation strategies in musculoskeletal conditions – Unique Potential and Challenges in bridging from Research to Clinical Support Tool, presented by Ilse Jonkers from KU Leuven.
The webinar will take place on Tuesday December the 7th 2021, at 5pm – 6pm (CET)
Please access the online platform “Gotowebinar” and register your participation through this link
Abstract
The use of integrated 3D motion capture is currently well-accepted to study musculoskeletal disorders and evaluate the impact of treatments, mainly in a research context. Combining experimental data with modeling and dynamic simulation approaches, we now have access to parameters which today cannot be measured non-invasively. In the research field on degenerative joint disease, there is the ambition and proof of concept to use these techniques to contribute to patient stratification and consequent prescription of targeted rehabilitation strategies. Likewise, the potential in defining effective treatment approaches to study gait dysfunction in children with CP is becoming more and more accepted. In these research applications, high fidelity data from medical imaging techniques and 3D motion capture systems are abundantly used to personalize complex musculoskeletal models and high-fidelity input data. However, when bridging into the clinical decision-making workflow, there are dedicated challenges that merely lie in the sparse data sets and the need to simplify the modeling workflows without losing important patient-specific features.