E-Thesis 449 views 251 downloads
Multiscale Modelling and Analysis of Tumour Growth and Treatment Strategies / SARA HAMIS
Swansea University Author: SARA HAMIS
DOI (Published version): 10.23889/SUthesis.56917
Abstract
A multiscale, agent-based mathematical framework is here used to capture the multiscale nature of solid tumours. Tumour dynamics and treatment responses are modelled and simulated in silico. Details regarding cell cy-cle progression, tumour growth and oxygen distribution are included in the mathemat...
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Swansea
2021
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Institution: | Swansea University |
Degree level: | Doctoral |
Degree name: | Ph.D |
Supervisor: | Powathil, Gibin |
URI: | https://cronfa.swan.ac.uk/Record/cronfa56917 |
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2021-05-19T14:04:54.9972646 v2 56917 2021-05-19 Multiscale Modelling and Analysis of Tumour Growth and Treatment Strategies 12e5602e8f55d1da67bf35a0a8a51236 SARA HAMIS SARA HAMIS true false 2021-05-19 A multiscale, agent-based mathematical framework is here used to capture the multiscale nature of solid tumours. Tumour dynamics and treatment responses are modelled and simulated in silico. Details regarding cell cy-cle progression, tumour growth and oxygen distribution are included in the mathematical framework. Treatment responses to conventional anti-cancer therapies, such as chemotherapy and radiotherapy, as well as to more novel drugs, such as hypoxia-activated prodrugs and DNA-damage repair inhibit-ing drugs, are studied. Uncertainty and sensitivity analyses techniques are discussed in order to mitigate model uncertainty and interpret model sen-sitivity to parameter perturbations. This thesis furthermore discusses the role of mathematical modelling in current cancer research. E-Thesis Swansea mathematics, mathematical, computational oncology 9 5 2021 2021-05-09 10.23889/SUthesis.56917 ORCiD identifier https://orcid.org/0000-0002-1105-8078 COLLEGE NANME COLLEGE CODE Swansea University Powathil, Gibin Doctoral Ph.D 2021-05-19T14:04:54.9972646 2021-05-19T12:14:58.7972494 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics SARA HAMIS 1 56917__19942__443f268cc7bf493b8e49eb1c21b5ee46.pdf Hamis_Sara_PhD_Thesis_Final_Redacted_Signature.pdf 2021-05-19T12:47:54.4818786 Output 24077086 application/pdf E-Thesis – open access true Copyright: The author, Sara Hamis, 2021. true eng |
title |
Multiscale Modelling and Analysis of Tumour Growth and Treatment Strategies |
spellingShingle |
Multiscale Modelling and Analysis of Tumour Growth and Treatment Strategies SARA HAMIS |
title_short |
Multiscale Modelling and Analysis of Tumour Growth and Treatment Strategies |
title_full |
Multiscale Modelling and Analysis of Tumour Growth and Treatment Strategies |
title_fullStr |
Multiscale Modelling and Analysis of Tumour Growth and Treatment Strategies |
title_full_unstemmed |
Multiscale Modelling and Analysis of Tumour Growth and Treatment Strategies |
title_sort |
Multiscale Modelling and Analysis of Tumour Growth and Treatment Strategies |
author_id_str_mv |
12e5602e8f55d1da67bf35a0a8a51236 |
author_id_fullname_str_mv |
12e5602e8f55d1da67bf35a0a8a51236_***_SARA HAMIS |
author |
SARA HAMIS |
author2 |
SARA HAMIS |
format |
E-Thesis |
publishDate |
2021 |
institution |
Swansea University |
doi_str_mv |
10.23889/SUthesis.56917 |
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 |
document_store_str |
1 |
active_str |
0 |
description |
A multiscale, agent-based mathematical framework is here used to capture the multiscale nature of solid tumours. Tumour dynamics and treatment responses are modelled and simulated in silico. Details regarding cell cy-cle progression, tumour growth and oxygen distribution are included in the mathematical framework. Treatment responses to conventional anti-cancer therapies, such as chemotherapy and radiotherapy, as well as to more novel drugs, such as hypoxia-activated prodrugs and DNA-damage repair inhibit-ing drugs, are studied. Uncertainty and sensitivity analyses techniques are discussed in order to mitigate model uncertainty and interpret model sen-sitivity to parameter perturbations. This thesis furthermore discusses the role of mathematical modelling in current cancer research. |
published_date |
2021-05-09T04:12:15Z |
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1763753837326237696 |
score |
11.016235 |