Nanorobots-assisted tumor sensitization and targeting for multifocal tumor

Shaolong SHI, Junfeng XIONG, Muhammad ALI, Yifan CHEN, U Kei CHEANG, Min Jun KIM, Xin YAO

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

2 Citations (Scopus)


We have proposed a new tumor sensitization and targeting (TST) framework, named in vivo computation, in our previous investigations. Our previous works are focusing on the TST for unifocal tumor, where we proposed the weak priority evolution strategy to adapt to the actuating mode of the homogeneous magnetic field used in the state-of-the-art nanorobotic platforms, and some in vitro validations were performed. In this paper, we focus on the problem of TST for multifocal tumor, which can be seen as a multimodal optimization problem for in vivo computation. To overcome this issue, we propose a sequential targeting strategy to complete TST for the lesions one by one with the assistance of nanorobot swarms. The proposed tumor targeting strategy is performed in the in vitro experiment, where Janus particles are used as nanorobots and a 2-D microchannel network plays the role of the tumor vascular network. This paper describes the theoretical knowledge, experimental validation scenario and shows the experimental result on the targeting efficiency by using the proposed targetlng strategy. © 2020 IEEE.
Original languageEnglish
Title of host publicationProceedings of the IEEE Conference on Nanotechnology
PublisherIEEE Computer Society
Number of pages4
ISBN (Print)9781728182643
Publication statusPublished - Jul 2020
Externally publishedYes

Bibliographical note

This work was funded by the National Natural Science Foundation of China (NSFC; 51850410516), Science and Technology Innovation Committee Foundation of Shenzhen (JCYJ20180302174151692), and Shenzhen municipal government (Peacock Plan, 20181119590C) awarded to U Kei Cheang.


  • In vitro validation
  • In vivo computation
  • Targeting strategy
  • Tumor sensitization and targeting


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