Cancer growth treatment using immune linear quadratic regulator based on crow search optimization algorithm

• Autorzy: Hussein Mohammed A. , Karam Ekhlas H. , Habeeb Rokaia S.

Identyfikatory

DOI

10.23743/acs-2021-12

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

oncolytic virotherapy; feedback mechanism; crow search algorithm; immune LQR

PL

wiroterapia onkolityczna; mechanizm sprzężenia zwrotnego; algorytm wyszukiwania w tłumie; Immune-LQR

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2021
• Tom: Vol. 17, no 2
• Strony: 56--69
• Opis fizyczny: ibliogr. 16 poz., fig., tab.

Twórcy

autor

Hussein Mohammed A.

• Mustansiriyah University, College of Engineering, Computer Engineering Department, Baghdad, Iraq
• [e-mail]

autor

Karam Ekhlas H.

• Mustansiriyah University, College of Engineering, Computer Engineering Department, Baghdad, Iraq
• [e-mail]

autor

Habeeb Rokaia S.

• Mustansiriyah University, College of Engineering, Computer Engineering Department, Baghdad, Iraq

Bibliografia

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• [12] Purnawan, H., & Purwanto, E.B. (2017). Design of linear quadratic regulator (LQR) control system for flight stability of LSU-05. Journal of Physics: Conference Series, 890(1), 12056.
• [13] Rochdi, B. (2014). Design and application of fuzzy immune PID control based on genetic optimization. International Workshop on Advanced Control IWAC (pp. 10–14).
• [14] Saputra, J., Saragih, R., & Handayani, D. (2019). Robust H∞ controller for bilinear system to minimize HIV concentration in blood plasma. Journal of Physics: Conference Series, 1245(1), 12055.
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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).