Evolutionary Dynamics Optimal Research-Oriented Tumor Immunity Architecture

被引：1
|
作者：
Sun, Jiayue [1 ,2 ]
Yan, Ying [1 ,2 ]
Cheng, Fangxiao [3 ]
Wang, Jiajun [4 ]
Dang, Yuxue [5 ]
机构：
[1] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110189, Liaoning, Peoples R China
[2] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110189, Liaoning, Peoples R China
[3] Peking Univ, Inst Med Technol, Hlth Sci Ctr, Beijing 100191, Peoples R China
[4] China Med Univ, Affiliated Hosp 1, Dept Thorac Surg, Shenyang 110004, Liaoning, Peoples R China
[5] China Med Univ, Shengjing Hosp, Dept Radiol, Shenyang 110004, Peoples R China
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2023年
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Evolutionary dynamics; optimal control; tumor immune architecture; IMMUNOTHERAPY; CELLS; SYSTEMS; MODEL;
D O I：
10.1109/TNNLS.2023.3297121
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The article is devoted to evolutionary dynamics optimal control-oriented tumor immune differential game system. First, the mathematical model covering immune cells and tumor cells considering the effects of chemotherapy drugs and immune agents. Second, the bounded optimal control problem covering is transformed into solving Hamilton-Jacobi-Bellman (HJB) equation considering the actual constraints and infinite-horizon performance index based on minimizing the amount of medication administered. Finally, approximate optimal control strategy is acquired through iterative-dual heuristic dynamic programming (I-DHP) algorithm avoiding dimensional disaster effectively and providing optimal treatment scheme for clinical applications.
引用
收藏
页码：1 / 10
页数：10
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