E-Thesis 424 views 243 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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| 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 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. |
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| Item Description: |
ORCiD identifier https://orcid.org/0000-0002-1105-8078 |
| Keywords: |
mathematics, mathematical, computational oncology |
| College: |
Faculty of Science and Engineering |