Maria Holland, University of Notre Dme
Adrian Buganza Tepole, Purdue University
A distinctive feature of biological systems is their ability to adapt to mechanical cues through growth and remodeling (G&R). Growth is associated with the addition or loss of mass, generally through volume change in soft tissues or density change in hard tissues. Remodeling is associated with permanent changes in structure. Computational modeling of G&R has been accomplished through approaches such as finite volume growth and mixture theory, with numerical implementations in finite elements and isogeometric analysis, in both Lagrangian or Eulerian settings. G&R is key to understanding embryonic development, disease onset and progression, and effects of treatment, including but not limited to brain misfolding in neurological disorders, aneurysm progression, skin expansion, and chronic obstructive pulmonary disease. Models and theories focused on mechanics alone have been able to explain evolving phenomena in different organs, but more recently many efforts have expanded to include the role of biological regulatory networks. This minisymposium seeks contributions from the leading experts in the field regarding the latest developments on G&R theories, numerical implementation, and clinical applications.