• DocumentCode
    982904
  • Title

    Integrative science: a modeling challenge

  • Author

    Coatrieux, Jean Louis

  • Volume
    23
  • Issue
    1
  • fYear
    2004
  • Firstpage
    12
  • Lastpage
    14
  • Abstract
    Computational modeling and information technology in biology and medicine will play a major role in the interdisciplinary attempt to elucidate structures and functions of living systems. The recursion between organization levels, at all space and time scales, for highly dynamical, interacting, and complex systems (i.e., the integrative science) is a very challenging topic where formal models, observational tools, and experimental investigations have to be closely designed and confronted together. This first in a series of short articles will examine some of the issues to deal with and enhance the perspectives that can be expected from the coupling between modeling and processing frames.
  • Keywords
    biology computing; biomedical engineering; medical image processing; medical signal processing; physiological models; biology; biomedical technologies; cellular levels; complex data fluctuations; complex systems; computational modeling; information technology; integrative science; living systems; medicine; multimodal image processing; multimodal signal processing; Biological system modeling; Biomedical engineering; Biomedical imaging; Data mining; Heart; Magnetic resonance imaging; Molecular imaging; Optical imaging; Signal processing; Space technology; Biomedical Engineering; Information Storage and Retrieval; Models, Biological; Research; Science; Systems Integration;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/MEMB.2004.1297170
  • Filename
    1297170