ABSTRACT

Angiogenesis, the formation of new blood vessels from pre-existent ones, ensures the viability of all cells in the body. Similar to the most biological processes, angiogenesis is highly complex, being modulated by different biochemical species and different cell types. Accordingly, computational models are an advantage since they allow to mimic this process helping to understand it. In this work, an iterative code capable of predicting angiogenesis was presented. Our model mimics specific steps of this process such as the migration of endothelial cells, the branching of the growing capillaries and the anastomosis. The numerical results allowed to achieve a capillary network with similarities to the one obtained in vivo studies.