Prof. dr. Julius Griškevičius received his PhD in Mechanical Engineering from Vilnius Gediminas Technical University (Vilnius Tech, Lithuania) in 2005. Currently he is a professor and head of the Department of Biomechanical Engineering, teaching Biomechanics, Control theory, and Information Systems in Medicine courses for undergraduate and graduate students of the Biomedical Engineering study program. His research interests include biomechanics, musculoskeletal system modeling and application of information technology in medicine. Dr. Griškevičius is a president of Lithuanian Society of Biomechanics and a member of European Society of Biomechanics. 

Data-driven biomechanics: model-based systems for clinical decision support. Applications in diagnostics, rehabilitation and teaching

This workshop focusses on the application of data-driven biomechanics to develop model-based systems that support clinical decision making in the fields of diagnostics, rehabilitation, and teaching. Biomechanics is the study of the mechanical properties of biological systems, such as the human body, and their interactions with the environment. The use of data-driven approaches in biomechanics allows the creation of accurate and personalized models that can help with diagnosis, treatment planning, and rehabilitation.
In this workshop, participants will learn about the latest developments in data-driven biomechanics and their applications in clinical decision support. This will include topics such as motion capture, musculoskeletal modelling, finite element analysis, and machine learning. Case studies will be presented to demonstrate the practical use of these techniques in various clinical settings.

The workshop will also cover the use of data-driven biomechanics in teaching and education. Participants will learn about the development of interactive educational tools that use biomechanical modelling to improve learning and understanding of human movement.
In general, this workshop aims to provide participants with a comprehensive overview of data-driven biomechanics and its applications in clinical decision support and teaching. At the end of the workshop, participants will have gained knowledge and skills that can be applied in their own research or clinical practise.