Investigating the impact of adipose derived media on ovarian cancer: Insights from a 3D in-silico model

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

doi:10.1016/j.mbs.2026.109683

Journal article 165 views 8 downloads

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

, Gibin Powathil

Mathematical Biosciences, Volume: 396

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

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Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).
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DOI (Published version): 10.1016/j.mbs.2026.109683

Published in:	Mathematical Biosciences
ISSN:	0025-5564
Published:	Elsevier BV 2026
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa71676

first_indexed	2026-03-25T11:57:32Z
last_indexed	2026-04-24T07:12:11Z
id	cronfa71676
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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_volume	396
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
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department_str	School of Mathematics and Computer Science - Mathematics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Mathematics
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published_date	2026-06-01T07:56:38Z
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Investigating the impact of adipose derived media on ovarian cancer: Insights from a 3D in-silico model

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