A mechano-regulation computational model for musculoskeletal tissue differentiation and growth is desired to develop strategies for tissue engineering and regenerative therapies of bone and cartilage. The goal of this project is to develop and corroborate a computational adaptive model to longer-term growth of cartilage and bone in a bioreactor. Previous studies on fracture healing have demonstrated that mechanoregulation theories based on deviatoric strain and fluid flow was most promising.
This theory was then combined with mechanistic descriptions of cellular processes to improve its corroboration with bone healing as observed in vivo. In this project, the fracture healing adaptive model will be modified in order to simulate longer term in vitro experiments using a pre-existing bioreactor that was developed to test the potential of the mechanoregulation theory. First of all, the empiric constants of the model will be determined from experimental and literature data. Then, data from long term experiments w ill be generated in parallel projects and will be available for further development of cell process modelling.
Finally, the full adaptive tissue differentiation and regeneration models will be corroborated by comparing its a priori simulations with that of results from long term in vitro experiments with different boundary conditions (data generated in parallel projects). As this may be time consuming, if many cell processes are determined to be significant in the previous studies, the processes will be evaluated one by one starting with the process of highest significance until satisfactory corroborations of the full adaptive model are achieved.
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