Individual Adaptive Regulation Strategy Inspired by Artificial Fish Swarm Algorithm for Tumor Targeting

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Pub Date : 2024-02-01 DOI:10.1109/TMBMC.2024.3361251

Yue Sun;Shanchao Wen;Shaolong Shi;Yifan Chen

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Abstract

The use of nanoparticles for tumor-targeted therapy has become an emergent topic in molecular communications due to the similarity in information propagation and drug delivery. This paper introduces a novel approach called individual adaptive regulation strategy (IARS) to enhance tumor targeting, drawing inspiration from the collective behavior of fish swarms. This approach does not require any prior knowledge of tumor location. The goal is to leverage the intelligence and adaptability of fish swarms to improve drug delivery efficiency and effectiveness and enhance the early-stage tumor detection rate. The approach integrates the perceptual information of nanoswimmers (NSs) with the biological gradient fields (BGFs) induced by tumors, which departs from the existing approaches that rely solely on the information perception of a single nanoparticle to the BGFs. IARS can dynamically adjust the motion direction of NSs in response to the characteristics of the tumor microenvironment. Extensive simulations and experiments demonstrate the efficacy and resilience of the proposed strategy, indicating promising outcomes in cancer treatment through targeted drug delivery.

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受人工鱼群算法启发的个体自适应调节策略用于肿瘤靶向治疗

由于信息传播和药物输送的相似性，利用纳米粒子进行肿瘤靶向治疗已成为分子通讯领域的一个新兴课题。本文从鱼群的集体行为中汲取灵感，介绍了一种名为个体自适应调节策略（IARS）的新方法，以增强肿瘤靶向性。这种方法无需事先了解肿瘤位置。其目的是利用鱼群的智能和适应性来提高药物输送的效率和效果，并提高早期肿瘤的检测率。该方法将纳米游泳者（NSs）的感知信息与肿瘤诱导的生物梯度场（BGFs）整合在一起，不同于现有的仅依靠单个纳米粒子对生物梯度场的信息感知的方法。IARS 可以根据肿瘤微环境的特征动态调整纳米粒子的运动方向。大量的模拟和实验证明了所提策略的有效性和适应性，表明通过靶向药物递送治疗癌症大有可为。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Mathematics-Modeling and Simulation

CiteScore

3.90

自引率

13.60%

发文量

期刊介绍： As a result of recent advances in MEMS/NEMS and systems biology, as well as the emergence of synthetic bacteria and lab/process-on-a-chip techniques, it is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems. This success opens up a new frontier for interdisciplinary communications techniques using chemistry, biology, and other principles that have not been considered in the communications literature. The IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (T-MBMSC) is devoted to the principles, design, and analysis of communication systems that use physics beyond classical electromagnetism. This includes molecular, quantum, and other physical, chemical and biological techniques; as well as new communication techniques at small scales or across multiple scales (e.g., nano to micro to macro; note that strictly nanoscale systems, 1-100 nm, are outside the scope of this journal). Original research articles on one or more of the following topics are within scope: mathematical modeling, information/communication and network theoretic analysis, standardization and industrial applications, and analytical or experimental studies on communication processes or networks in biology. Contributions on related topics may also be considered for publication. Contributions from researchers outside the IEEE’s typical audience are encouraged.