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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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Published: Swansea 2021
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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first_indexed 2021-05-19T11:19:21Z
last_indexed 2021-05-20T03:11:49Z
id cronfa56917
recordtype RisThesis
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spelling 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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score 11.013148

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