Optimal control treatment analysis for the predator-prey chemotherapy model

Ismail Abdulrashid, Hakim Ghazzai, Xiaoying Han, Yehia Massoud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this paper, we investigate a nonautonomous model of chemotherapy cancer treatment with time-dependent infusion concentration of the chemotherapy agent. A predator-prey type model is adopted to describe the interactions between the chemotherapy agent and cells, in which the chemotherapy agent is modeled as the prey being consumed by both cancer and normal cells, thereby affecting the population of both. We derive an optimal control for this model and provide necessary conditions for continuous application of chemotherapy treatment. Finally, we provide selected numerical results and find out that with the same amount of chemotherapy drug infused at the beginning of the treatment, normal cell population continually increase over time, while the tumor cell population is quickly driven to zero. An interesting aspect of this work indicates that for large volume of tumor, our numerical result shows that continuous treatment needs to be carried out in order to combat the tumor.
Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Microelectronics, ICM
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages296-299
Number of pages4
ISBN (Print)9781728140582
DOIs
StatePublished - Dec 1 2019
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2022-09-13

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