Agent-based computational modelling of tissue dynamics
by Roman Bauer
16:00 (40 min) in USB 2.022
Biological tissue dynamics involves highly complex processes on different spatial and temporal scales. This complexity renders the computational modelling of such dynamics a difficult task. Moreover, it is not obvious how such models can be accurately validated and compared with experimental data. To this end, agent-based modelling (ABM) constitutes a powerful approach to model tissue dynamics on different scales.
Here, I will present research where developmental neural tissue dynamics were modelled using ABM and the models were tested on various experimental datasets. Importantly, I will show how the mechanistic nature of ABM facilitates the formulation of experimentally verifiable predictions. Additionally, I will demonstrate the BioDynaMo platform and discuss how it can help researchers from different backgrounds to model and test their own hypotheses of biological tissue dynamics.