Computational Mechanobiology

Tissues in the musculoskeletal system are exquisitely designed with superb mechanical properties. The tissues are also able to adapt to withstand changing mechanical conditions. The Computational Mechanobiology Group is focused on understanding these two exciting features. Using computer modeling techniques, we seek to understand the mechanical behavior of tissues and their adaptive and regenerative response to mechanical stimuli at the different time and length scales.

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Mechano-Biological Optimization of Scaffolds

Bone regeneration is influenced by the local mechanical and biological environments. We develop computer models to understand the process of tissue regeneration within tissue engineering constructs and apply mechano-biological knowledge to design scaffolds that would promote bone tissue formation in vivo.

Mechanical strains within bone tissue scaffolds of different configurations leading to different mechanical environments within the construct.

Publications

Razi H, Checa S, Schaser KD, Duda GN. (2012) Shaping scaffold structures in rapid manufacturing implants: a modeling approach toward mechano-biologically optimized configurations for large bone defect. J Biomed Mater Res B Appl Biomater.; 100(7):1736-45.

Khayyeri H, Checa S, Tägil M, O'Brien FJ, Prendergast PJ. (2010). Tissue differentiation in an in vivo bioreactor: in silico investigations of scaffold stiffness. J Mater Sci Mater Med. 2010 Aug;21(8):2331-6.

Checa S, Prendergast PJ. (2010) Effect of cell seeding and mechanical loading on vascularization and tissue formation inside a scaffold: a mechano-biological model using a lattice approach to simulate cell activity. J. Biomechanics, 43: 961-8.

Sandino C, Checa S, Prendergast PJ, Lacroix D. (2010) Simulation of angiogenesis and cell differentiation in a CaP scaffold subjected to unconfined compressive strain using a lattice modeling approach. Biomaterials, 31: 2446-2452.