Immunotherapy of Cancer Tumors Using Model Predictive Control Approach, M.Sc. Thesis Sharif University of Technology ; Pishvaie, Mahmoud Reza (Supervisor)
Abstract
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...
Cataloging briefImmunotherapy of Cancer Tumors Using Model Predictive Control Approach, M.Sc. Thesis Sharif University of Technology ; Pishvaie, Mahmoud Reza (Supervisor)
Abstract
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...
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