Print Email Facebook Twitter Agent-based mathematical modeling of pancreatic cancer growth and several therapies Title Agent-based mathematical modeling of pancreatic cancer growth and several therapies Author Chen, J. (TU Delft Numerical Analysis) Contributor Vuik, Cornelis (promotor) Vermolen, F.J. (promotor) Degree granting institution Delft University of Technology Date 2020-01-23 Abstract Cancer is known as one of the leading causes of death in the world with difficultdiagnose at early stages, poor prognosis and high mortality. Animal-basedexperiments and clinical trials have always been the main approach for cancerresearch, albeit they may have limitations and ethical issues. Mathematicalmodelingas an efficient method is used to predict results, optimize experimental designand reduce animal use. Our work focuses on the phenomenological simulationof cancer progression and therapies at the cell scale level. Subject Reaction-diffusion equationBiomechanicsCell-based modelingCellular automataMonte Carlo simulationsPancreatic cancerCancer therapy To reference this document use: https://doi.org/10.4233/uuid:42e7f02f-0844-4367-8678-e2d5a3fa959f ISBN 978-94-6366-245-1 Part of collection Institutional Repository Document type doctoral thesis Rights © 2020 J. Chen Files PDF Dissertation_Jiao_Chen.pdf 28.3 MB Close viewer /islandora/object/uuid:42e7f02f-0844-4367-8678-e2d5a3fa959f/datastream/OBJ/view