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Providing a Suitable Drug Delivery Plan for Cancer Treatment with Chemotherapy and Anti-Angiogenic Agent

Solgi, Mostafa | 2024

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 57703 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Moradi, Hamed
  7. Abstract:
  8. Cancer is one of the leading causes of death worldwide, accounting for approximately 12% of global mortality. Cancer treatment encompasses various methods, with chemotherapy being one of the most common approaches for treating malignant tumors. Angiogenesis is a phenomenon that significantly accelerates the growth of cancer cells; therefore, combination therapies that include both chemotherapy and anti-angiogenic drugs are often employed. Dynamic models are highly effective for estimating cell growth processes in cancer, as they not only provide valuable insights into cell growth trends but also allow for the examination of these processes with significantly lower time and cost compared to laboratory methods. To determine an optimal drug regimen for cancer treatment, various experimental and computational methods are utilized. Among the cost-effective and relatively accurate approaches are mathematical models based on control theory. In this research, a dynamic model is used to simulate the interactions between normal, cancerous, and endothelial cells, along with the effects of chemotherapy and anti-angiogenic drugs on cancer treatment. Subsequently, two effective therapeutic regimens are derived using sliding mode control and robust linear control based on μ-synthesis. These methods are designed to reduce cancer cell concentrations within an optimal timeframe while also avoiding the administration of high doses of chemotherapy and anti-angiogenic drugs. It is noteworthy that these approaches demonstrate strong resilience to model parameter uncertainties. The performance of both methods was evaluated and compared on the model. The results indicate that robust linear control performed slightly better than sliding mode control; however, the dose of chemotherapy and anti-angiogenic drugs required in the sliding mode control method was lower than that in the μ-synthesis-based control method
  9. Keywords:
  10. Cancer Treatment ; Cancer Chemotherapy ; Sliding Mode Control ; Parameters Uncertainty ; Angiogenesis ; Cancer ; Cancer Dynamic Model ; Robust Linear Control

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