Erschienen: 24.06.2019 Abbildung von Schiesser | Spatiotemporal Modeling of Cancer Immunotherapy | 1st ed. 2019 | 2019 | Partial Differential Equation ...


Spatiotemporal Modeling of Cancer Immunotherapy

Partial Differential Equation Analysis in R

1st ed. 2019 2019. Buch. viii, 112 S. 70 s/w-Abbildungen, Bibliographien. Hardcover

Springer. ISBN 978-3-030-17635-8

Format (B x L): 15,5 x 23,5 cm

Gewicht: 355 g

In englischer Sprache


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.


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