Final frontier in computational modelling of movement

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This project aims to create the computational models and methods needed to advance current understanding of musculoskeletal function during movement. Humans must maintain their capacity to move in order to maintain quality-of-life. Predictive modelling is potentially the most powerful approach for understanding musculoskeletal function during movement. Current computational methods are too slow and unreliable to deliver predictive simulations of movement using realistic models of muscle and joint anatomy. This project expects to create the next generation of methods and algorithms needed to enable predictive modelling of movement. Predictive simulations will provide new insights into how muscles stabilise and control movements of the spine, pelvis and lower limbs during daily activities such as walking.