Swinburne
Browse

Epigenetic and geometrical characterisation of cancer cell populations: A personalised-medicine oriented mathematical study of tumour evolutionary dynamics and therapies

Download (52.46 MB)
thesis
posted on 2024-10-11, 08:25 authored by Giulia Chiari

The thesis focuses on oncological mathematics, developing various mathematical models with distinct theoretical approaches to describe the evolution of tumour masses. It considers the epigenetic and geometric characterisation of cancer cell populations, their interaction with the environment, and the application of therapies. Key objectives achieved include the qualitative and quantitative reproduction of clinical observations using biologically consistent models, the utilisation of models for predictive purposes, and the establishment of design strategies for patient-specific protocols. This work introduces novel modelling approaches, contributes to a deeper understanding of tumour dynamics, and supports the advancement of personalised medicine.

History

Thesis type

  • Thesis (PhD partnered and offshore partnered)

Thesis note

Thesis submitted for the Degree of Doctor of Philosophy, Politecnico di Torino, Swinburne University of Technology, and Università di Torino, 2024.

Copyright statement

Copyright © 2024 Giulia Chiari.

Supervisors

Federico Frascoli, Marcello Edoardo Delitala

Language

eng

Usage metrics

    Theses

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC