Several Agent-Based and Cellular Automata Mathematical Frameworks for Modeling Pancreatic Cancer

Conference paper (2021)

Authors

J. Chen Amsterdam UMC, Numerical Analysis - EEMCS
F.J. Vermolen University of Hasselt, Numerical Analysis - EEMCS
Research Group
Numerical Analysis (EEMCS) (TU Delft)
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Published Date

2021

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Delft Institute of Applied Mathematics

Research Group

Numerical Analysis

Abstract

Mathematical modeling sheds light on cancer research. In addition to reducing animal-based experiments, mathematical modeling is able to provide predictions and prevalidate hypotheses quantitatively. In this work, two different agent-based frameworks regarding cancer modeling are summarised. In contrast, cell-based models focus on the behavior of every single cell and presents the interaction of cells on a small scale, whereas, cellular automata models are used to simulate the interaction of cells with their microenvironment on a large tissue scale.