• DocumentCode
    1818350
  • Title

    Cancer disease: integrative modelling approaches

  • Author

    Byrne, Helen M. ; Owen, Markus R. ; Alarcon, Tomas ; Maini, Philip K.

  • Author_Institution
    Sch. of Math. Sci., Nottingham Univ.
  • fYear
    2006
  • fDate
    6-9 April 2006
  • Firstpage
    806
  • Lastpage
    809
  • Abstract
    Cancer is a complex disease in which a variety of phenomena interact over a wide range of spatial and temporal scales. In this article a theoretical framework will be introduced that is capable of linking together such processes to produce a detailed model of vascular tumour growth. The model is formulated as a hybrid cellular automaton and contains submodels that describe subcellular, cellular and tissue level features. Model simulations will be presented to illustrate the effect that coupling between these different elements has on the tumour´s evolution and its response to chemotherapy
  • Keywords
    cancer; cellular automata; cellular biophysics; patient treatment; physiological models; tumours; cancer disease; cellular features; chemotherapy; hybrid cellular automaton; integrative modelling; subcellular features; tissue features; tumour evolution; vascular tumour growth; Automata; Biological system modeling; Biology; Blood flow; Cancer; Chemical elements; Diseases; Joining processes; Production; Tumors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-7803-9576-X
  • Type

    conf

  • DOI
    10.1109/ISBI.2006.1625040
  • Filename
    1625040