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用于癌症治疗的微型机器人集群

Microrobotic Swarms for Cancer Therapy.

作者信息

Xie Leiming, Liu Jinbo, Yang Zhen, Chen Hui, Wang Yibin, Du Xingzhou, Fu Yongping, Song Peng, Yu Jiangfan

机构信息

Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518129, China.

School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China.

出版信息

Research (Wash D C). 2025 Apr 29;8:0686. doi: 10.34133/research.0686. eCollection 2025.

DOI:10.34133/research.0686
PMID:40302783
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12038165/
Abstract

Microrobotic swarms hold great promise for the revolution of cancer treatment. The coordination of miniaturized microrobots offers a unique approach to treating cancers at the cellular level with enhanced delivery efficiency and environmental adaptability. Prior studies have summarized the design, functionalization, and biomedical applications of microrobotic swarms. The strategies for actuation and motion control of swarms have also been introduced. In this review, we first give a detailed introduction to microrobot swarming. We then explore the design of microrobots and microrobotic swarms specifically engineered for cancer therapy, with a focus on tumor targeting, infiltration, and therapeutic efficacy. Moreover, the latest developments in active delivery methods and imaging techniques that enhance the precision of these systems are discussed. Finally, we categorize and analyze the various cancer therapies facilitated by functional microrobotic swarms, highlighting their potential to revolutionize treatment strategies for different cancer types.

摘要

微型机器人集群在癌症治疗革命方面具有巨大潜力。小型微型机器人的协同作用为在细胞水平治疗癌症提供了一种独特方法,具有更高的递送效率和环境适应性。先前的研究总结了微型机器人集群的设计、功能化及生物医学应用。还介绍了集群的驱动和运动控制策略。在本综述中,我们首先详细介绍微型机器人集群。然后,我们探讨专门为癌症治疗设计的微型机器人和微型机器人集群,重点关注肿瘤靶向、浸润和治疗效果。此外,还讨论了提高这些系统精度的主动递送方法和成像技术的最新进展。最后,我们对功能性微型机器人集群推动的各种癌症治疗方法进行分类和分析,突出它们在彻底改变不同癌症类型治疗策略方面的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/12038165/8dd609fc3ddf/research.0686.fig.008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e146/12038165/8dd609fc3ddf/research.0686.fig.008.jpg

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Adv Mater. 2025 Mar 7:e2418425. doi: 10.1002/adma.202418425.
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