Special Session 106: Data-Driven Multiscale Modeling and Model Reduction Techniques in Biomedicine: Bridging Scales and Complexity

Mechanisms of cancer invasion and progression: insights from agent-based models

Andreas Deutsch
Centre for Interdisciplinary Digital Sciences, Dresden University of Technology
Germany
Co-Author(s):    
Abstract:
Cancer invasion may be viewed as collective phenomenon emerging in populations of normal and malignant cells. As such it can be studied with agent-based models, e.g. cellular automata. I will provide examples of such models to analyze breast and glioma invasion as well as the emergence of phenotypic heterogeneity due to cellular interactions in growing tumors. Furthermore, I will present models which shed light on cancer progression.