Examining the efficacy of localised gemcitabine therapy for the treatment of pancreatic cancer using a hybrid agent-based model

Philip K. Maini; Adrianne L. Jenner; Wayne Kelly; Michael Dallaston; Robyn Araujo; Isobelle Parfitt; Dominic Steinitz; Pantea Pooladvand; Peter S. Kim; Samantha J. Wade; Kara L. Vine

doi:10.1371/journal.pcbi.1010104

Examining the efficacy of localised gemcitabine therapy for the treatment of pancreatic cancer using a hybrid agent-based model

Philip K. Maini, Adrianne L. Jenner, Wayne Kelly, Michael Dallaston, Robyn Araujo, Isobelle Parfitt, Dominic Steinitz, Pantea Pooladvand, Peter S. Kim, Samantha J. Wade, Kara L. Vine

Research output: Contribution to journal › Article › peer-review

1 Downloads (Pure)

Original language	English
Article number	e1010104
Journal	PLoS Computational Biology
Volume	19
Issue number	1
Early online date	17 Jan 2023
DOIs	https://doi.org/10.1371/journal.pcbi.1010104
Publication status	Published - 2023
Externally published	Yes

Bibliographical note

Note: 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).

Keywords

Applied mathematics

Access to Document

10.1371/journal.pcbi.1010104

Steinitz-D-53186-VoRFinal published version, 3.4 MBLicence: CC BY

https://doi.org/10.1371/journal.pcbi.1010104

Cite this

Maini, P. K., Jenner, A. L., Kelly, W., Dallaston, M., Araujo, R., Parfitt, I., Steinitz, D., Pooladvand, P., Kim, P. S., Wade, S. J., & Vine, K. 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), Article e1010104. https://doi.org/10.1371/journal.pcbi.1010104

@article{2b87403e680644e681ef5caf71f13cd5,

title = "Examining the efficacy of localised gemcitabine therapy for the treatment of pancreatic cancer using a hybrid agent-based model",

keywords = "Applied mathematics",

author = "Maini, \{Philip K.\} and Jenner, \{Adrianne L.\} and Wayne Kelly and Michael Dallaston and Robyn Araujo and Isobelle Parfitt and Dominic Steinitz and Pantea Pooladvand and Kim, \{Peter S.\} and Wade, \{Samantha J.\} and Vine, \{Kara L.\}",

note = "Note: 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).",

year = "2023",

doi = "10.1371/journal.pcbi.1010104",

language = "English",

volume = "19",

journal = "PLoS Computational Biology",

issn = "1553-734X",

publisher = "Public Library of Science",

number = "1",

}

TY - JOUR

T1 - Examining the efficacy of localised gemcitabine therapy for the treatment of pancreatic cancer using a hybrid agent-based model

AU - Maini, Philip K.

AU - Jenner, Adrianne L.

AU - Kelly, Wayne

AU - Dallaston, Michael

AU - Araujo, Robyn

AU - Parfitt, Isobelle

AU - Steinitz, Dominic

AU - Pooladvand, Pantea

AU - Kim, Peter S.

AU - Wade, Samantha J.

AU - Vine, Kara L.

N1 - Note: 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).

PY - 2023

Y1 - 2023

KW - Applied mathematics

U2 - 10.1371/journal.pcbi.1010104

DO - 10.1371/journal.pcbi.1010104

M3 - Article

SN - 1553-734X

VL - 19

JO - PLoS Computational Biology

JF - PLoS Computational Biology

IS - 1

M1 - e1010104

ER -