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[null,"1.","Record Nr.",null,"UNINA9910337938503321"]
[null,null,"Autore",null,"Schiesser W. E."]
[null,null,"Titolo",null,"Spatiotemporal Modeling of Cancer Immunotherapy : Partial Differential Equation Analysis in R / / by William E. Schiesser"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019"]
[null,null,"ISBN",null,"3-030-19080-3"]
[null,null,"Edizione",null,"[1st ed. 2019.]"]
[null,null,"Descrizione fisica",null,"1 online resource (116 pages) : illustrations"]
[null,null,"Disciplina",null,"515.353"]
[null,null,"Soggetti",null,"Biomedical engineering"]
[{"$nulls":4},"Mathematical models"]
[{"$nulls":4},"Cancer - Research"]
[{"$nulls":4},"R (Computer program language)"]
[{"$nulls":4},"Biomedical Engineering/Biotechnology"]
[{"$nulls":4},"Mathematical Modeling and Industrial Mathematics"]
[{"$nulls":4},"Cancer Research"]
[{"$nulls":4},"Biomedical Engineering and Bioengineering"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Fixed Boundary PDE Model Formulation -- Fixed Boundary PDE Model Implementation -- Fixed Boundary PDE Model Output -- Moving Boundary PDE Model Implementation -- Moving Boundary PDE Model Output -- Index."]
[null,null,null,"Sommario/riassunto","The focus of this book is a detailed discussion of a dual cancer vaccine (CV)-immune checkpoint inhibitor (ICI) mathematical model formulated as a system of partial differential equations (PDEs) defining the spatiotemporal distribution of cells and biochemicals during tumor growth. A computer implementation of the model is discussed in detail for the quantitative evaluation of CV-ICI therapy. The coding (programming) consists of a series of routines in R, a quality, open-source scientific computing system that is readily available from the internet. The routines are based on the method of lines (MOL), a general PDE algorithm that can be executed on modest computers within the basic R system. The reader can download and use the routines to confirm the model solutions reported in the book, then experiment with the model by varying the parameters and modifying/extending the equations, and even studying alternative "]
[{"$nulls":4},"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."]