Modeling Cancer Cell Response to Immunotherapy

Significant work has been done modeling cancerous tumor growth and response to therapy under certain simplifying assumptions, specifically, the assumption of spatial homogeneity. We have chosen a spatially heterogenous model for cancer cell growth using a hybrid Lattice-Gas Cellular Automata method....

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Main Author:	Harley, Eric
Format:	Others
Published:	Scholarship @ Claremont 2004
Subjects:	Spatial Tumor Growth in Parallel Mathematically Modeling
Online Access:	https://scholarship.claremont.edu/hmc_theses/164 https://scholarship.claremont.edu/cgi/viewcontent.cgi?article=1167&context=hmc_theses

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spelling	ndltd-CLAREMONT-oai-scholarship.claremont.edu-hmc_theses-11672019-10-16T03:06:33Z Modeling Cancer Cell Response to Immunotherapy Harley, Eric Significant work has been done modeling cancerous tumor growth and response to therapy under certain simplifying assumptions, specifically, the assumption of spatial homogeneity. We have chosen a spatially heterogenous model for cancer cell growth using a hybrid Lattice-Gas Cellular Automata method. Cell mitosis, apoptosis, and necrosis are explicitly modeled along with the diffusion of nutrients and a necrotic signal. The model implementation is verified qualitatively and is modified to execute on a parallel computer. 2004-05-01T07:00:00Z text application/pdf https://scholarship.claremont.edu/hmc_theses/164 https://scholarship.claremont.edu/cgi/viewcontent.cgi?article=1167&context=hmc_theses HMC Senior Theses Scholarship @ Claremont Spatial Tumor Growth in Parallel Mathematically Modeling
collection	NDLTD
format	Others
sources	NDLTD
topic	Spatial Tumor Growth in Parallel Mathematically Modeling
spellingShingle	Spatial Tumor Growth in Parallel Mathematically Modeling Harley, Eric Modeling Cancer Cell Response to Immunotherapy
description	Significant work has been done modeling cancerous tumor growth and response to therapy under certain simplifying assumptions, specifically, the assumption of spatial homogeneity. We have chosen a spatially heterogenous model for cancer cell growth using a hybrid Lattice-Gas Cellular Automata method. Cell mitosis, apoptosis, and necrosis are explicitly modeled along with the diffusion of nutrients and a necrotic signal. The model implementation is verified qualitatively and is modified to execute on a parallel computer.
author	Harley, Eric
author_facet	Harley, Eric
author_sort	Harley, Eric
title	Modeling Cancer Cell Response to Immunotherapy
title_short	Modeling Cancer Cell Response to Immunotherapy
title_full	Modeling Cancer Cell Response to Immunotherapy
title_fullStr	Modeling Cancer Cell Response to Immunotherapy
title_full_unstemmed	Modeling Cancer Cell Response to Immunotherapy
title_sort	modeling cancer cell response to immunotherapy
publisher	Scholarship @ Claremont
publishDate	2004
url	https://scholarship.claremont.edu/hmc_theses/164 https://scholarship.claremont.edu/cgi/viewcontent.cgi?article=1167&context=hmc_theses
work_keys_str_mv	AT harleyeric modelingcancercellresponsetoimmunotherapy
_version_	1719268845275840512

Modeling Cancer Cell Response to Immunotherapy

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