Erik Blom
Division of Scientific Computing, IT Department, Uppsala University
Understanding the development of biological tissue from the fundamental interactions between its constituent cells can provide insight into tumor growth, wound healing, embryonic development, etc. However, a great challenge in computational modeling of complex biological systems is how to meaningfully compare simulation results with available data.
In this talk, I give an overview of my PhD research project which aims to contribute to this quest towards data-driven accurate models and simulations of biological cell populations, by developing such models from first principle. Currently, we are working on an existing agent-based model of avascular tumors in which we study the mechanisms pertaining to finite-sized growth, in comparison with the growth patterns observed for biological tumors.