Maini, Philip K., Jenner, Adrianne L., Kelly, Wayne, Dallaston, Michael, Araujo, Robyn, Parfitt, Isobelle, Steinitz, Dominic, Pooladvand, Pantea, Kim, Peter S., Wade, Samantha J. and Vine, Kara L. (2023) Examining the efficacy of localised gemcitabine therapy for the treatment of pancreatic cancer using a hybrid agent-based model. PLoS Computational Biology, 19(1), e1010104. ISSN (print) 1553-734X

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Official URL:	https://doi.org/10.1371/journal.pcbi.1010104
Item Type:	Article
Additional Information:	This work was supported by the First Byte Funding Scheme from the Centre for Data Science at Queensland University of Technology, a Fonds de recherche du Quebec – Sante International Postdoctoral Fellowship, Centre for Applied Mathematics in Biosciences and Medicine (CAMBAM), the Illawarra Cancer Carers and the PanCare Foundation (APP1165978, administered by Cancer Australia), the Australian Research Council Discovery Project (DP18010512).
Research Area:	Research Areas > Applied mathematics Research Areas > Cancer studies Research Areas > Computer science and informatics
Faculty, School or Research Centre:	Kingston Business School Kingston Business School > Department of Accountancy, Finance and Informatics
Date Deposited:	09 Feb 2023 15:33
Last Modified:	09 Feb 2023 15:33
DOI:	https://doi.org/10.1371/journal.pcbi.1010104
URI:	https://eprints.kingston.ac.uk/id/eprint/53186

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