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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Bibliographic Details
Main Author: Harley, Eric
Format: Others
Published: Scholarship @ Claremont 2004
Subjects:
Online Access:https://scholarship.claremont.edu/hmc_theses/164
https://scholarship.claremont.edu/cgi/viewcontent.cgi?article=1167&context=hmc_theses
Description
Summary: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.