MultiSim: Clinical Workflow Presentation 1 – Predicting the risk of fracture
Developing a personalised musculoskeletal modelling framework to
improve accuracy of hip fracture risk prediction in the short (1 year, ARF0)
and medium (10 years, ARF10) terms by 10%.
Ambition:
To generate a computational framework to improve the current
fracture risk predictions, using data collected at body (gait data and physical
activities) and organ level (personal-specific computer model predictions).
Results of the simulations are then coupled with mathematical
models at population level to evaluate the individual’s risk of fracture in the
next 10 years (ARF10), achieving a longer term prediction.