rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Selected Topics in Cancer Modeling
    sub title: Genesis, Evolution, Immune Competition, and Therapy
  name:
    name part: Angelis, Elena.
    role:
      role term: editor.
  name:
    name part: Chaplain, Mark A. J.
    role:
      role term: editor.
  name:
    name part: Bellomo, Nicola.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2008
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 473 p. 140 illus. online resource.
  abstract: A major challenge in the modeling and simulation of tumor growth is the mathematical description of living matter, which is far more complex than a mathematical description of inert matter. One critical piece of this challenge is creating multiscale models that take into account subcellular, cellular, and macroscopic levels of cancer. The complexity of these different levels requires the development of new mathematical methods and ideas, which are examined in this work. Written by first-rate researchers in the field of mathematical biology, this collection of selected chapters offers a comprehensive overview of state-of-the-art mathematical methods and tools for modeling and analyzing cancer phenomena. Topics covered include: * Genetic and epigenetic pathways to colon cancer * A game theoretical perspective on the somatic evolution of cancer * Nonlinear modeling and simulation of tumor growth * Tumor cords and their response to anticancer agents * Modeling diffusely invading brain tumors * Multiphase models of tumor growth * Mathematical modeling of breast carcinogenesis * Predictive models in tumor immunology * Multiscale modeling of solid tumor growth Selected Topics in Cancer Modeling is an excellent reference for researchers, practitioners, and graduate students in applied mathematics, mathematical biology, and related fields. The book has an overall aim of quantitative, predictive mathematical modeling of solid tumor growth at all scales, from genetics all the way through to treatment therapy for patients.
  table of contents: Genetic and Epigenetic Pathways to Colon Cancer Relating Experimental Evidence with Modeling -- From Kinetic Theory for Active Particles to Modelling Immune Competition -- Towards Microscopic and Nonlocal Models of Tumour Invasion of Tissue -- Nonlinear Renewal Equations -- A Game Theoretical Perspective on the Somatic Evolution of cancer -- Nonlinear Modeling and Simulation of Tumor Growth -- Tumour Cords and Their Response to Anticancer Agents -- Modeling Diffusely Invading Brain Tumors An Individualized Approach to Quantifying Glioma Evolution and Response to Therapy -- Multiphase Models of Tumour Growth -- The Lymphatic Vascular System in Lymphangiogenesis Invasion and Metastasis A Mathematical Approach -- M for Invasion Morphology Mutation and the Microenvironment -- Methods of Stochastic Geometry and Related Statistical Problems in the Analysis and Therapy of Tumour Growth and Tumour Driven Angiogenesis -- Mathematical Modelling of Breast Carcinogenesis, Treatment with Surgery and Radiotherapy and Local Recurrence -- Predictive Models in Tumor Immunology -- Dynamically Adaptive Tumour Induced Angiogenesis The Impact of Flow on the Developing Capillary Plexus -- Dynamic Irregular Patterns and Invasive Wavefronts The Control of Tumour Growth by Cytotoxic T Lymphocytes -- Multiscale Modelling of Solid Tumour Growth.
  note: edited by Elena Angelis, Mark A. J. Chaplain, Nicola Bellomo.
  subject:
    topic: Mathematics
  subject:
    topic: Health informatics
  subject:
    topic: Oncology
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Mathematical models
  subject:
    topic: Biomathematics
  subject:
    topic: Mathematics
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  subject:
    topic: Oncology
  subject:
    topic: Health Informatics
  subject:
    topic: Mathematical and Computational Biology
  subject:
    topic: Physiological, Cellular and Medical Topics
  subject:
    topic: Applications of Mathematics
  classification: TA342-343
  classification: 003.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Modeling and Simulation in Science, Engineering and Technology
  identifier: 9780817647131
  identifier: http://dx.doi.org/10.1007/978-0-8176-4713-1
  record info:
    record creation date: 100301
    record change date: 20151204163601.0
    record identifier: 978-0-8176-4713-1