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Investigating the Impact of Adipose Derived Media on Ovarian Cancer: Insights from a 3D in-silico model

Sam Oliver, M. Williams, D. Howard, Deya Gonzalez Orcid Logo, Gibin Powathil Orcid Logo

Mathematical Biosciences, Start page: 109683

Swansea University Authors: Sam Oliver, Deya Gonzalez Orcid Logo, Gibin Powathil Orcid Logo

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DOI (Published version): 10.1016/j.mbs.2026.109683

Published in: Mathematical Biosciences
ISSN: 0025-5564
Published: Elsevier BV 2026
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URI: https://cronfa.swan.ac.uk/Record/cronfa71676
first_indexed 2026-03-25T11:57:32Z
last_indexed 2026-03-27T05:34:34Z
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spelling 2026-03-26T16:59:31.3202917 v2 71676 2026-03-25 Investigating the Impact of Adipose Derived Media on Ovarian Cancer: Insights from a 3D in-silico model 644b8a85c3b8211ec0da0870d2bbc266 Sam Oliver Sam Oliver true false bafdf635eb81280304eedf4b18e65d4e 0000-0002-1838-6752 Deya Gonzalez Deya Gonzalez true false f23646a94239f673e2a43ebe7397aabd 0000-0002-8372-7349 Gibin Powathil Gibin Powathil true false 2026-03-25 MACS Journal Article Mathematical Biosciences 109683 Elsevier BV 0025-5564 24 3 2026 2026-03-24 10.1016/j.mbs.2026.109683 https://doi.org/10.1016/j.mbs.2026.109683 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University Not Required EPSRC Maths DTP 2021/22 Swansea University [Grant EP/W523963/1] Grant EP/W523963/1 2026-03-26T16:59:31.3202917 2026-03-25T11:47:39.1285393 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics Sam Oliver 1 M. Williams 2 D. Howard 3 Deya Gonzalez 0000-0002-1838-6752 4 Gibin Powathil 0000-0002-8372-7349 5
title Investigating the Impact of Adipose Derived Media on Ovarian Cancer: Insights from a 3D in-silico model
spellingShingle Investigating the Impact of Adipose Derived Media on Ovarian Cancer: Insights from a 3D in-silico model
Sam Oliver
Deya Gonzalez
Gibin Powathil
title_short Investigating the Impact of Adipose Derived Media on Ovarian Cancer: Insights from a 3D in-silico model
title_full Investigating the Impact of Adipose Derived Media on Ovarian Cancer: Insights from a 3D in-silico model
title_fullStr Investigating the Impact of Adipose Derived Media on Ovarian Cancer: Insights from a 3D in-silico model
title_full_unstemmed Investigating the Impact of Adipose Derived Media on Ovarian Cancer: Insights from a 3D in-silico model
title_sort Investigating the Impact of Adipose Derived Media on Ovarian Cancer: Insights from a 3D in-silico model
author_id_str_mv 644b8a85c3b8211ec0da0870d2bbc266
bafdf635eb81280304eedf4b18e65d4e
f23646a94239f673e2a43ebe7397aabd
author_id_fullname_str_mv 644b8a85c3b8211ec0da0870d2bbc266_***_Sam Oliver
bafdf635eb81280304eedf4b18e65d4e_***_Deya Gonzalez
f23646a94239f673e2a43ebe7397aabd_***_Gibin Powathil
author Sam Oliver
Deya Gonzalez
Gibin Powathil
author2 Sam Oliver
M. Williams
D. Howard
Deya Gonzalez
Gibin Powathil
format Journal article
container_title Mathematical Biosciences
container_start_page 109683
publishDate 2026
institution Swansea University
issn 0025-5564
doi_str_mv 10.1016/j.mbs.2026.109683
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Mathematics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Mathematics
url https://doi.org/10.1016/j.mbs.2026.109683
document_store_str 0
active_str 0
published_date 2026-03-24T05:30:28Z
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