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题名

Nanorobots-assisted tumor sensitization and targeting for multifocal tumor

作者
通讯作者Chen,Yifan
DOI
发表日期
2020-07-01
会议名称
IEEE International Conference on Nanotechnology
ISSN
1944-9399
EISSN
1944-9380
ISBN
978-1-7281-8265-0
会议录名称
卷号
2020-July
页码
362-365
会议日期
29-31 July 2020
会议地点
Montreal, QC, Canada
摘要

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.

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学校署名
其他
语种
英语
相关链接[Scopus记录]
收录类别
EI入藏号
20203809208240
EI主题词
MEMS ; Nanorobotics ; Intelligent Robots ; Nanorobots
EI分类号
Biomedical Engineering:461.1 ; Biological Materials And Tissue Engineering:461.2 ; Electric Equipment:704.2 ; Robotics:731.5 ; Robot Applications:731.6 ; Nanotechnology:761
Scopus记录号
2-s2.0-85091039257
来源库
Scopus
全文链接https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9183696
引用统计
被引频次[WOS]:0
成果类型会议论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/187969
专题工学院_计算机科学与工程系
工学院_机械与能源工程系
作者单位
1.Harbin Institute of Technology,Harbin,China
2.Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China
3.University of Waikato,Division of Health Engineering Computing and Science,Hamilton,New Zealand
4.School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu,China
5.Department of Mechanical and Energy Engineering,Southern University of Science and Technology,Shenzhen,China
6.Department of Mechanical Engineering,Southern Methodist University,Dallas,United States
第一作者单位计算机科学与工程系
推荐引用方式
GB/T 7714
Shi,Shaolong,Xiong,Junfeng,Ali,Muhammad,et al. Nanorobots-assisted tumor sensitization and targeting for multifocal tumor[C],2020:362-365.
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Nanorobots-assisted_(1237KB)会议论文--限制开放CC BY-NC-SA
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