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Delay-induced model for tumor–immune interaction and control of malignant tumor growth

机译:延迟诱导的肿瘤-免疫相互作用和恶性肿瘤生长控制模型

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The paper deals with the qualitative analysis of the solutions of a system of delay differential equations describing the interaction between tumor and immune cells. The asymptotic stability of the possible steady states is showed and the occurrence of limit cycle of the system around the interior equilibrium is proved by the application of Hopf bifurcation theorem by using the delay as a bifurcation parameter. The length of the delay parameter for preserving stability of the system is also estimated, which gives the idea about the mode of action for controlling oscillations in malignant tumor cell growth. The theoretical and numerical outcomes have been supported through experimental results from literatures. This approach gives new insight of modeling tumor–immune interactions and provides significant control strategies to overcome the large oscillations in tumor cells.
机译:本文研究了描述肿瘤与免疫细胞之间相互作用的时滞微分方程系统解的定性分析。给出了可能的稳态的渐近稳定性,并通过使用Hopf分支定理,将时延作为分支参数,证明了系统围绕内部平衡的极限环的发生。还估计了用于保持系统稳定性的延迟参数的长度,这给出了关于控制恶性肿瘤细胞生长中的振荡的作用方式的想法。理论和数值结果得到了文献实验结果的支持。这种方法为建模肿瘤-免疫相互作用提供了新的见识,并提供了重要的控制策略来克服肿瘤细胞中的大振荡。

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