Combining mathematical modelling with in-vitro experiments to predict in-vivo drug-eluting stent kinetics

McGinty, Sean and McCormick, Christopher and McKittrick, Craig Martin and Kennedy, Simon and Oldroyd, Keith G. and Wheel, Marcus and Scullion, Bryan and Pontrelli, Giuseppe and McKee, Sean; Nithiarasu, P. and Robertson, A.M., eds. (2017) Combining mathematical modelling with in-vitro experiments to predict in-vivo drug-eluting stent kinetics. In: 5th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017). Zeta Computational Resources Ltd., USA, pp. 1011-1014. ISBN 9780956291448

[img]
Preview
 Text (McGinty-CMBE2017-in-vitro-in-vivo-drug-eluting-stent-kinetics)
McGinty_CMBE2017_in_vitro_in_vivo_drug_eluting_stent_kinetics.pdf
Final Published Version
Download (179kB)| Preview

    Abstract

    In this paper we describe a combined in-vitro experimental and mathematical modelling approach to predict in-vivo drug-eluting stent kinetics. We coated stents with a mixture of sirolimus and a novel acrylic-based polymer in two different ratios. Our results indicate differential release kinetics between low and high drug dose formulations. Furthermore, mathematical model simulations of target receptor saturation suggest potential differences in efficacy.

    Creators(s): McGinty, Sean, McCormick, Christopher, McKittrick, Craig Martin ORCID logoORCID: https://orcid.org/0000-0002-6374-2728, Kennedy, Simon, Oldroyd, Keith G., Wheel, Marcus ORCID logoORCID: https://orcid.org/0000-0002-1372-6324, Scullion, Bryan, Pontrelli, Giuseppe and McKee, Sean; Nithiarasu, P. and Robertson, A.M.
    Item type:Book Section
    ID code:67264
    Keywords:Drug-eluting stents, drug delivery, coupled partial differential equations, in-vivo experiments, Pharmacy and materia medica, Bioengineering, Biomedical Engineering
    Subjects:Medicine > Pharmacy and materia medica
    Technology > Engineering (General). Civil engineering (General) > Bioengineering
    Department:Faculty of Engineering > Biomedical Engineering
    Strategic Research Themes > Health and Wellbeing
    Faculty of Engineering > Mechanical and Aerospace Engineering
    Faculty of Science > Mathematics and Statistics
    Depositing user: Pure Administrator
    Date deposited:12 Mar 2019 11:23
    Last modified:29 Apr 2020 00:21
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/67264
    Export data:
    CORE (COnnecting REpositories)