Next-generation computational models to understand human joints . This project aims to investigate human joint systems through combining state-of-the-art imaging and high-fidelity biomechanical models

Description

Next-generation computational models to understand human joints . This project aims to investigate human joint systems through combining state-of-the-art imaging and high-fidelity biomechanical models. The methods developed in this project are expected to generate new ways of studying the dynamic response of musculoskeletal tissues to activity, including how musculoskeletal physiology can adapt to biomechanical stimuli. Expected outcomes include establishing a non-invasive method for characterising whole joint systems. This project will provide significant knowledge gain on the biomechanical regulation of human joints across form, function, dynamics and loading which may help across many facets of society to guide physical activity choices.. Scheme: ARC Future Fellowships. Field: 4003 - Biomedical Engineering. Lead: Prof Dominic Thewlis