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

Conference Paper (2021)
Author(s)

Jiao Chen (TU Delft - Electrical Engineering, Mathematics and Computer Science, Amsterdam UMC)

Fred J. Vermolen (Universiteit Hasselt, TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Numerical Analysis
DOI related publication
https://doi.org/10.1007/978-3-030-55874-1_25 Final published version
More Info
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Publication Year
2021
Language
English
Research Group
Numerical Analysis
Pages (from-to)
265-274
Publisher
Springer
ISBN (print)
978-3-030-55873-4
ISBN (electronic)
978-3-030-55874-1
Event
European Numerical Mathematics and Advanced Applications Conference 2019 (2019-09-30 - 2019-10-04), Hotel Zuiderduin , Egmond aan Zee, Netherlands
Downloads counter
120

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.