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
