ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at email@example.com.
- 3 English
- 3 Public
- Applied mathematics
- 1 Biology
- 1 Cancer
- 1 Cellular biology
- 1 Combination Treatment
- 1 Dendritic Cell Vaccine
- 1 Droop equation
- 1 Immunotherapy
- 1 Mathematical Biology
- 1 Mathematical Modeling
- 1 Numerical analysis
- 1 Oncolytic Virus
- 1 Ordinary Differential Equation
- 1 Ordinary Differential Equations
- 1 Partial Differential Equation
- 1 androgen deprivation therapy
- 1 cancer model
- 1 chronic myeloid leukemia
- 1 ordinary differential equation
- 1 ovarian cancer
The phycologist, M. R. Droop, studied vitamin B12 limitation in the flagellate Monochrysis lutheri and concluded that its specific growth rate depended on the concentration of the vitamin within the cell; i.e. the cell quota of the vitamin B12. The Droop model provides a mathematical expression to link growth rate to the intracellular concentration of a limiting nutrient. Although the Droop model has been an important modeling tool in ecology, it has only recently been applied to study cancer biology. Cancer cells live in an ecological setting, interacting and competing with normal and other cancerous cells for nutrients and space, …
- Everett, Rebecca Anne, Kuang, Yang, Nagy, John, et al.
- Created Date
Combination therapy has shown to improve success for cancer treatment. Oncolytic virotherapy is cancer treatment that uses engineered viruses to specifically infect and kill cancer cells, without harming healthy cells. Immunotherapy boosts the body's natural defenses towards cancer. The combination of oncolytic virotherapy and immunotherapy is explored through deterministic systems of nonlinear differential equations, constructed to match experimental data for murine melanoma. Mathematical analysis was done in order to gain insight on the relationship between cancer, viruses and immune response. One extension of the model focuses on clinical needs, with the underlying goal to seek optimal treatment regimens; for both …
- Summer, Ilyssa, Castillo-Chavez, Carlos, Nagy, John, et al.
- Created Date
Cancer is a major health problem in the world today and is expected to become an even larger one in the future. Although cancer therapy has improved for many cancers in the last several decades, there is much room for further improvement. Mathematical modeling has the advantage of being able to test many theoretical therapies without having to perform clinical trials and experiments. Mathematical oncology will continue to be an important tool in the future regarding cancer therapies and management. This dissertation is structured as a growing tumor. Chapters 2 and 3 consider spheroid models. These models are adept at …
- Rutter, Erica Marie, Kuang, Yang, Kostelich, Eric J, et al.
- Created Date