Agent-based mathematical modeling of pancreatic cancer growth and several therapies

Doctoral thesis (2020)

Authors

J. Chen Numerical Analysis - EEMCS
Research Group
Numerical Analysis (EEMCS) (TU Delft)
Copyright: © 2020 J. Chen
DOI
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https://doi.org/10.4233/uuid:42e7f02f-0844-4367-8678-e2d5a3fa959f
Biomechanics Monte Carlo simulations Cellular automata Reaction-diffusion equation Cell-based modeling Pancreatic cancer Cancer therapy
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Published Date

2020

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Delft Institute of Applied Mathematics

Research Group

Numerical Analysis

Abstract

Cancer is known as one of the leading causes of death in the world with difficult
diagnose at early stages, poor prognosis and high mortality. Animal-based
experiments and clinical trials have always been the main approach for cancer
research, albeit they may have limitations and ethical issues. Mathematicalmodeling
as an efficient method is used to predict results, optimize experimental design
and reduce animal use. Our work focuses on the phenomenological simulation
of cancer progression and therapies at the cell scale level.