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336			_aTexto _btxt _2rdacontent
710	2		_aSpringerLink (Online service) _9106996
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005			20230102113409.0
008			190601s2019 gw | o |||| 0|eng d
020			_a9783030190804
024	7		_a10.1007/978-3-030-19080-4 _2doi
050		4	_aRC271.I45 _b2019 EB
100	1		_aSchiesser, William E. _9670222
245	1	0	_aSpatiotemporal Modeling of Cancer Immunotherapy : _bPartial Differential Equation Analysis in R _cby William E. Schiesser.
264		1	_aCham, Switzerland _bSpringer International Publishing _c2019
300			_a1 recurso en línea (VIII, 112 páginas) _b70 ilustraciones
337			_aelectrónico _bc
338			_arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aBiomedical and Life Sciences (Springer-11642)
505	0		_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.
520	3		_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.
988			_aPrimersemestre_2019_BiomedLife
650		7	_2embne _aCáncer _xInmunoterapia _9348509
650		7	_2embne _9143820 _aIngeniería biomédica
776	0	8	_iPrinted edition: _z9783030176358
776	0	8	_iPrinted edition: _z9783030176365
776	0	8	_iPrinted edition: _z9783030191375
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-19080-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b08/2019 _ek _zSI