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000890769 019__ $$a1105175999
000890769 020__ $$a9783030190804$$q(electronic book)
000890769 020__ $$a3030190803$$q(electronic book)
000890769 020__ $$z9783030176358
000890769 0247_ $$a10.1007/978-3-030-19
000890769 035__ $$aSP(OCoLC)on1103320230
000890769 035__ $$aSP(OCoLC)1103320230$$z(OCoLC)1105175999
000890769 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dEBLCP$$dLQU$$dUKMGB
000890769 049__ $$aISEA
000890769 050_4 $$aRC271.I45
000890769 08204 $$a616.99/406$$223
000890769 1001_ $$aSchiesser, W. E.,$$eauthor.
000890769 24510 $$aSpatiotemporal modeling of cancer immunotherapy :$$bpartial differential equation analysis in R /$$cWilliam E. Schiesser.
000890769 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2019]
000890769 264_4 $$c©2019
000890769 300__ $$a1 online resource :$$billustrations
000890769 336__ $$atext$$btxt$$2rdacontent
000890769 337__ $$acomputer$$bc$$2rdamedia
000890769 338__ $$aonline resource$$bcr$$2rdacarrier
000890769 504__ $$aIncludes bibliographical references and index.
000890769 5050_ $$aFixed Boundary PDE Model Formulation -- Fixed Boundary PDE Model Implementation -- Fixed Boundary PDE Model Output -- Moving Boundary PDE Model Implementation -- Moving Boundary PDE Model Output -- Index.
000890769 506__ $$aAccess limited to authorized users.
000890769 520__ $$aThe focus of this book is a detailed discussion of a dual cancer vaccine (CV)-immune checkpoint inhibitor (ICI) mathematical model formulated as a system of partial differential equations (PDEs) defining the spatiotemporal distribution of cells and biochemicals during tumor growth. A computer implementation of the model is discussed in detail for the quantitative evaluation of CV-ICI therapy. The coding (programming) consists of a series of routines in R, a quality, open-source scientific computing system that is readily available from the internet. The routines are based on the method of lines (MOL), a general PDE algorithm that can be executed on modest computers within the basic R system. The reader can download and use the routines to confirm the model solutions reported in the book, then experiment with the model by varying the parameters and modifying/extending the equations, and even studying alternative models with the PDE methodology demonstrated by the CV-ICI model. Spatiotemporal Modeling of Cancer Immunotherapy: Partial Differential Equation Analysis in R facilitates the use of the model, and more generally, computer- based analysis of cancer immunotherapy mathematical models, as a step toward the development and quantitative evaluation of the immunotherapy approach to the treatment of cancer.
000890769 588__ $$aOnline resource; title from PDF title page (viewed June 4, 2019).
000890769 650_0 $$aCancer$$xImmunotherapy$$xMathematical models.
000890769 650_0 $$aImmunotherapy$$xMathematical models.
000890769 650_0 $$aDifferential equations, Partial.
000890769 852__ $$bebk
000890769 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-19080-4$$zOnline Access$$91397441.1
000890769 909CO $$ooai:library.usi.edu:890769$$pGLOBAL_SET
000890769 980__ $$aEBOOK
000890769 980__ $$aBIB
000890769 982__ $$aEbook
000890769 983__ $$aOnline
000890769 994__ $$a92$$bISE