Developing the new generation of personalised neuromusculoskeletal models to investigate cerebral palsy

Personalisation is crucial in neuromusculoskeletal (NMSK) modelling, especially in understanding neuromuscular disorders, such as cerebral palsy. Nonetheless, commonly used NMSK models rely on scaled generic musculoskeletal anatomies and optimisation algorithms to solve for muscle forces. Consequently, pathology-related abnormalities may not be mimicked, leading to erroneous estimates. In this study, we propose ways to personalise NMSK models to enable more physiological estimates of muscle and joint contact forces.