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    Optimisation modelling of cancer growth

    Access Status
    Open access via publisher
    Authors
    Jones, T.
    Caccetta, Louis
    Rehbock, Volker
    Date
    2017
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Jones, T. and Caccetta, L. and Rehbock, V. 2017. Optimisation modelling of cancer growth, pp. 115-123.
    Source Title
    Discrete and Continuous Dynamical Systems - Series B
    DOI
    10.3934/dcdsb.2017006
    ISSN
    1531-3492
    School
    Department of Mathematics and Statistics
    URI
    http://hdl.handle.net/20.500.11937/58449
    Collection
    • Curtin Research Publications
    Abstract

    Several computational models have been developed in the litera- ture to describe the dynamics of the cell-cycle for the mammalian cell, in par- ticular for cancer cells, using both traditional and new techniques and yielding some positive results. In this paper, we discuss how to optimise model param- eters for these types of models and how this can serve to enhance numerical results. We pose the model parameter selection problem as an optimal param- eter selection problem on both a normal cell and cancer cell cycle of growth. Various possible objectives are discussed and we illustrate the process with some numerical results.

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