CANCER GROWTH TREATMENT USING IMMUNE LINEAR QUADRATIC REGULATOR BASED ON CROW SEARCH OPTIMIZATION ALGORITHM
Mohammed A. Hussein
mohammediyad95@gmail.comMustansiriyah University, College of Engineering, Computer Engineering Department, Baghdad (Iraq)
Ekhlas H. Karam
Mustansiriyah University, College of Engineering, Computer Engineering Department, Baghdad (Iraq)
Rokaia S. Habeeb
Mustansiriyah University, College of Engineering, Computer Engineering Department, Baghdad (Iraq)
Abstract
The rapid and uncontrollable cell division that spreads to surrounding tissues medically termed as malignant neoplasm, cancer is one of the most common diseases worldwide. The need for effective cancer treatment arises due to the increase in the number of cases and the anticipation of higher levels in the coming years. Oncolytic virotherapy is a promising technique that has shown encouraging results in several cases. Mathematical models of virotherapy have been widely developed, and one such model is the interaction between tumor cells and oncolytic virus. In this paper an artificially optimized Immune- Linear Quadratic Regulator (LQR) is introduced to improve the outcome of oncolytic virotherapy. The control strategy has been evaluated in silico on number of subjects. The crow search algorithm is used to tune immune and LQR parameters. The study is conducted on two subjects, S1 and S3, with LQR and Immune-LQR. The experimental results reveal a decrease in the number of tumor cells and remain in the treatment area from day ten onwards, this indicates the robustness of treatment strategies that can achieve tumor reduction regardless of the uncertainty in the biological parameters.
Keywords:
oncolytic virotherapy, feedback mechanism, crow search algorithm, Immune-LQRReferences
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Authors
Mohammed A. Husseinmohammediyad95@gmail.com
Mustansiriyah University, College of Engineering, Computer Engineering Department, Baghdad Iraq
Authors
Ekhlas H. KaramMustansiriyah University, College of Engineering, Computer Engineering Department, Baghdad Iraq
Authors
Rokaia S. HabeebMustansiriyah University, College of Engineering, Computer Engineering Department, Baghdad Iraq
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