Overview
Facilitates computer-based analysis of CV-ICI mathematical models as a step toward the development and quantitative evaluation of the immunotherapy approach to the treatment of cancer
Provides detailed discussion of a dual cancer vaccine (CV) - immune checkpoint inhibitor (ICI) mathematical model
Routines are programmed in R, a quality open-source computing system that is readily available as a download from the internet
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Table of contents (6 chapters)
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About this book
The focus of this book is a detailed discussion of a dual cancer vaccine (CV)-immune checkpoint inhibitor (ICI) mathematical model formulated as a system of partial differential equations (PDEs) defining the spatiotemporal distribution of cells and biochemicals during tumor growth.
A computer implementation of the model is discussed in detail for the quantitative evaluation of CV-ICI therapy. The coding (programming) consists of a series of routines in R, a quality, open-source scientific computing system that is readily available from the internet. The routines are based on the method of lines (MOL), a general PDE algorithm that can be executed on modest computers within the basic R system. The reader can download and use the routines to confirm the model solutions reported in the book, then experiment with the model by varying the parameters and modifying/extending the equations, and even studying alternative models with the PDE methodology demonstrated by the CV-ICI model.
Spatiotemporal Modeling of Cancer Immunotherapy: Partial Differential Equation Analysis in R facilitates the use of the model, and more generally, computer- based analysis of cancer immunotherapy mathematical models, as a step toward the development and quantitative evaluation of the immunotherapy approach to the treatment of cancer.
To download the R routines, please visit: http://www.lehigh.edu/~wes1/ci_download
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Bibliographic Information
Book Title: Spatiotemporal Modeling of Cancer Immunotherapy
Book Subtitle: Partial Differential Equation Analysis in R
Authors: William E. Schiesser
DOI: https://doi.org/10.1007/978-3-030-19080-4
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-17635-8Published: 17 June 2019
Softcover ISBN: 978-3-030-17636-5Published: 14 August 2020
eBook ISBN: 978-3-030-19080-4Published: 30 May 2019
Edition Number: 1
Number of Pages: VIII, 112
Number of Illustrations: 70 b/w illustrations
Topics: Biomedical Engineering/Biotechnology, Mathematical Modeling and Industrial Mathematics, Cancer Research, Biomedical Engineering and Bioengineering