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
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会议名称 | IEEE International Conference on Nanotechnology
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ISSN | 1944-9399
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EISSN | 1944-9380
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ISBN | 978-1-7281-8265-0
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会议录名称 | |
卷号 | 2020-July
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页码 | 362-365
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会议日期 | 29-31 July 2020
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会议地点 | Montreal, QC, Canada
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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. |
关键词 | |
学校署名 | 其他
|
语种 | 英语
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相关链接 | [Scopus记录] |
收录类别 | |
EI入藏号 | 20203809208240
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EI主题词 | MEMS
; Nanorobotics
; Intelligent Robots
; Nanorobots
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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
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全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9183696 |
引用统计 |
被引频次[WOS]:0
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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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条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
Nanorobots-assisted_(1237KB) | 会议论文 | -- | 限制开放 | CC BY-NC-SA |
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