The structure, function and biomechanical properties of soft-biological tissues (heart, arteries, bladder, tendon, skin etc) are intimately related to their mechanical environment. Understanding this ‘mechanobiological’ relationship provides mechanistic insight into tissue function and dysfunction during development, aging and disease [1].
In this talk, I will overview in silico modelling approaches for simulating the biomechanics and evolving mechanobiology of several soft-tissue diseases and their adaptive response to mechanical treatment (stents, robotic implants). Presently, such computational models provide fundamental insight into the pathophysiology of disease. In the longer term, they offer the potential for personalised diagnosis, management and treatment.