Loading...

Immunotherapy of Cancer Tumors Using Model Predictive Control Approach

Mirbak, Mohammad | 2021

385 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54397 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Pishvaie, Mahmoud Reza
  7. Abstract:
  8. Statistics show that cancer is the second leading cause of death in the world. In recent years, several studies have shown that combination therapy is more effective than single therapy. Modeling and simulation the dynamics of cancer and the immune system and controlling the dose of cancer drugs complement preclinical trials. The aim of this study was to apply the model predictive control approach to determine the optimal dose of chemotherapy and immunotherapy drugs to treat cancerous tumors. Thus, with a preliminary analysis of the analytics, a six-state dynamic model has been selected as a hypothetical patient to advance therapeutic goals. Two sets of parameters for the hypothetical patient, called patient-9 and patient-10, are obtained from the available experimental results. Dosage of therapeutic drugs has been done by simulation a hypothetical model and of course equipped with a dosage drug controller, using MATLAB software. The simulation results show that the prescribed treatment protocol is successful; In addition to the complete destruction of the tumor, the side effects of chemotherapy and immunotherapy are minimized. The performance of the close loop system has been investigated for two different scenarios. The results of the first scenario show that the administration of immunotherapy by the controller in combination with the pulsive administration of chemotherapy, in addition to the complete destruction of the tumor, also improves the condition of the immune cells. In the second scenario, combination therapy is applied by the controller, thus the response of the close loop system is valid for each initial tumor condition, and the overall system is robust to a wide range of parameter uncertainty. Also, although patient-10 has a weaker immunity than patient-9, he is treated at the same time as the other patient
  9. Keywords:
  10. Tumors ; Model Predictive Control ; Cancer Chemotherapy ; Cancer Immunotherapy ; Drug Dosage ; Cancer Treatment

 Digital Object List

 Bookmark

No TOC