A mathematical spatial cancer model of the interaction between a drug and both malignant and healthy cells is considered. It is assumed that the drug influences negative malignant cells as well as healthy ones. The mathematical model considered consists of three nonlinear parabolic partial differential equations which describe spatial dynamics of malignant cells as well as healthy ones, and of the concentration of the drug. Additionally, we assume some phase constraints for the number of the malignant and the healthy cells and for the total dose of the drug during the whole treatment process. We search through all the courses of treatment switching between an application of the drug with the maximum intensity (intensive therapy phase) and discontinuing administering of the drug (relaxation phase) with the objective of achieving the maximum possible therapy (survival) time. We will call the therapy a viable treatment strategy.
В работе предложена распределенная математическая модель терапии глиомы, поставлена задача выживаемости, которую можно рассматривать как частный случай задачи оптимального управления. Найдены периодические режимы для соответствующей сосредоточенной задачи, также найдены периодические режимы в распределенной задаче. Предложен алгоритм поиска циклических режимов, приведены примеры результатов моделирования.
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