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231226s2022 xx |||||o 00| ||eng c |
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|a 10.1002/adma.202201051
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|a pubmed24n1130.xml
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|a eng
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|a Wang, Jie
|e verfasserin
|4 aut
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|a Intelligent Micro-/Nanorobots for Cancer Theragnostic
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|c 2022
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|a Text
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|a ƒaComputermedien
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|a Date Completed 30.12.2022
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|a Date Revised 03.01.2023
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2022 Wiley-VCH GmbH.
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|a Cancer is one of the most intractable diseases owing to its high mortality rate and lack of effective diagnostic and treatment tools. Advancements in micro-/nanorobot (MNR)-assisted sensing, imaging, and therapeutics offer unprecedented opportunities to develop MNR-based cancer theragnostic platforms. Unlike ordinary nanoparticles, which exhibit Brownian motion in biofluids, MNRs overcome viscous resistance in an ultralow Reynolds number (Re << 1) environment by effective self-propulsion. This unique locomotion property has motivated the advanced design and functionalization of MNRs as a basis for next-generation cancer-therapy platforms, which offer the potential for precise distribution and improved permeation of therapeutic agents. Enhanced barrier penetration, imaging-guided operation, and biosensing are additionally studied to enable the promising cancer-related applications of MNRs. Herein, the recent advances in MNR-based cancer therapy are comprehensively addresses, including actuation engines, diagnostics, medical imaging, and targeted drug delivery; promising research opportunities that can have a profound impact on cancer therapy over the next decade is highlighted
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|a Journal Article
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|a Review
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|a drug delivery
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|a medical imaging
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|a micro-/nanorobotics
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|a tumor diagnosis
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|a tumor therapy
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|a Dong, Yue
|e verfasserin
|4 aut
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1 |
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|a Ma, Peng
|e verfasserin
|4 aut
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1 |
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|a Wang, Yu
|e verfasserin
|4 aut
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|a Zhang, Fangyu
|e verfasserin
|4 aut
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|a Cai, Bocheng
|e verfasserin
|4 aut
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|a Chen, Peng
|e verfasserin
|4 aut
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|a Liu, Bi-Feng
|e verfasserin
|4 aut
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|t Advanced materials (Deerfield Beach, Fla.)
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|g 34(2022), 52 vom: 30. Dez., Seite e2201051
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|g year:2022
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|u http://dx.doi.org/10.1002/adma.202201051
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