VPHOP and SIMBIOS are two of the largest research projects worldwide developing technology for personalised, predictive, and integrative musculoskeletal medicine. These two projects are targeting the same strategic objective and developing highly complementary technologies. This unique condition creates an compelling opportunity for international collaboration, one which would dramatically increase the international impact of the work being done by the VPHOP project, and foster global cooperation on one of the grand challenges of biomedical research.
VPHOP, formed by a consortium of 19 partner institutions led by the Rizzoli Orthopaedic Institute, is developing the next generation of health technologies to fight osteoporosis. As part of this endeavour, the personalised modelling of the patient's neuro-musculo-skeletal system is essential.
SIMBIOS provides infrastructure, software, and training to help biomedical researchers understand biological form and function as they create novel drugs, synthetic tissues, medical devices, and surgical interventions. The cluster of projects connected to the SIMBIOS center is investigating a wide scale of biological structures - from molecules to organisms. Driving biological problems include RNA folding, protein folding, myosin dynamics, cardiovascular dynamics, and neuromuscular biomechanics. In particular, the team of one of the two Principal Investigators of SIMBIOS, Scott Delp, based at Stanford University, focuses on the accurate modelling of the neuro-musculo-skeletal system.
In addition to the Rizzoli Orthopedic Institute and to Stanford University, the NMS Physiome project will see the participation of Empirica, SCS, and the University of Bedfordshire, all members of the VPHOP consortium.
NMS Physiome three-years activity will revolve primarily around three objectives:
- Integrate the community web services developed by VPHOP and SIMBIOS to make teamwork across the two projects easier.
- Integrate the software tools, MAF and OpenSIM/FEBio, developed in the two projects in order to obtain a better collective tool chest for neuromusculoskeletal modelling.
- Combining the latest research achievements of the two consortia to better face the grand challenges the multiscale modelling of the musculoskeletal system poses, such as the efficient multiscale modelling of the musculoskeletal system, the creation of accurate patient-specific models from clinically available data, and the development of modelling methods to cope with the probabilistic nature of the neuromotor function.
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