Spatiotemporal Modeling of Cancer Immunotherapy
Spatiotemporal Modeling of Cancer Immunotherapy
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
Fixed Boundary PDE Model Formulation
Fixed Boundary PDE Model ImplementationFixed Boundary PDE Model Output
Moving Boundary PDE Model Implementation
Moving Boundary PDE Model Output
Index.
Schiesser, William E.
| ISBN | 978-3-030-17635-8 |
|---|---|
| Artikelnummer | 9783030176358 |
| Medientyp | Buch |
| Auflage | 1st ed. 2019 |
| Copyrightjahr | 2019 |
| Verlag | Springer, Berlin |
| Umfang | VIII, 112 Seiten |
| Abbildungen | VIII, 112 p. 70 illus. |
| Sprache | Englisch |
