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: Biosimulation in Biomedical Research, Health Care and Drug Development
  name:
    name part: Mosekilde, Erik.
    role:
      role term: editor.
  name:
    name part: Sosnovtseva, Olga.
    role:
      role term: editor.
  name:
    name part: Rostami-Hodjegan, Amin.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: au
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 396 p. online resource.
  abstract: Biosimulation is an approach to biomedical research and the treatment of patients in which computer modeling goes hand in hand with experimental and clinical work. Constructed models are used to interpret experimental results and to accumulate information from experiment to experiment. The book explains the concepts used in the modeling of biological phenomena and goes on to present a series of well-documented models of the regulation of various cellular and physiological processes, emphasizing particularly the role of self-sustained biological activity. The way how the use of computer models allows optimization of the treatment of various diseases for individual patients is discussed and models of interacting nerve cells that can be used to design new treatments for patients with Parkinson's disease are explained. Furthermore this volume provides a discussion of the use of models in the pharmaceutical industry, and presents the view of the regulatory agencies on the topic.
  note: edited by Erik Mosekilde, Olga Sosnovtseva, Amin Rostami-Hodjegan.
  subject:
    topic: Medicine
  subject:
    topic: Pharmacy
  subject:
    topic: Pharmaceutical technology
  subject:
    topic: Bioinformatics
  subject:
    topic: Biophysics
  subject:
    topic: Biological physics
  subject:
    topic: Statistics
  subject:
    topic: Biomedicine
  subject:
    topic: Pharmaceutical Sciences/Technology
  subject:
    topic: Pharmacy
  subject:
    topic: Medicine/Public Health, general
  subject:
    topic: Biophysics and Biological Physics
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Statistics for Life Sciences, Medicine, Health Sciences
  classification: RS380
  classification: RS190-210
  classification: 615.19
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783709104187
  identifier: http://dx.doi.org/10.1007/978-3-7091-0418-7
  record info:
    record creation date: 111031
    record change date: 20151125193319.0
    record identifier: 978-3-7091-0418-7