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Optimization of Combination Chemotherapy Problem with Uncertain Cell Cxycle

Jafari, Ali | 2020

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 52724 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Rafiee, Majid; Najafi, Mehdi
  7. Abstract:
  8. Nowadays, chemotherapy is one of the common ways to treat cancer. Although, chemotherapy is used to kill cancer cells , chemotherapy drugs also target healthy cells and tissues of the body. In practice, it is difficult to strike a balance between injectable doses of drugs and toxicity in the body, and physicians are always looking for an effective treatment plan. One of the most common drugs that physicians use in chemotherapy is cell-cycle-specific drugs. These types of chemotherapy drugs affect only a certain phase of cell cycle and to a certain extent. Since the lifetime of the cancer cells is uncertain, the effective use of these drugs depends on the correct injection time of the drugs relative to the cell cycle. This thesis proposes a mathematical stochastic optimization model, considering the stochastic length for ovarian cancer cells and considerong drug resistance. Finally, the stochastic model is solved by Tabu Search algorithm. The results of this procedure illustrate the effects of injectable dose on the patient at any given time. Using this information and depending on the patient's condition, oncologist can make the best decision for the patient
  9. Keywords:
  10. Tabu Search Algorithm ; Cell Cycle ; Drug Resistance ; Cell Cycle Phase Specific Drugs ; Combination Chemotherapy ; Chemotherapy Optimization ; Cancer Treatment

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