Motivated by the pressing need for treatment optimisation in musculoskeletal diseases, our vision is to create a clinical point-of-care test that uses X-rays to visualise mechanical analyses of long bones such as the femur to illustrate potential therapeutic success in a couple of minutes, without adding significant time to patient consultations or training needs for clinicians. To realise this, we aim to develop fast and effective patient-specific in silico models to predict the multiscale mechanical behaviour of long bones. These combine the power of multiscale models based on physical knowledge with the speed of artificial neural networks.
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