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Cited by 230

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Mobile Microrobots for Active Therapeutic Delivery

Open access
Erkoc, Pelin, Yasa, Immihan C., Ceylan, Hakan, Yasa, Oncay, Alapan, Yunus, Sitti, Metin·2019·Advanced Therapeutics

Abstract

Recent advances in the versatility and sophistication of design, fabrication, and control methods of mobile microrobots could have a transforming impact on future healthcare technologies. Self‐propelled or remotely actuated, synthetic, or biohybrid microrobots can navigate to difficult‐to‐reach regions in the human body to deliver therapeutics for microscopically localized medical interventions. Here, recent progress in the design of microrobotic systems concerning therapeutic delivery of drugs, cells, and genetic materials is reported. This perspective prioritizes the design aspects of microrobots for medical cargo loading, navigation in biologically relevant environments, and controlled cargo release. In the final section, future prospects and a discussion on the critical shortcomings for the benchside‐to‐bedside translation of medical microrobots are provided.

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Crossref · 10.1002/adtp.201800064

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Metadata

Authors
Erkoc, P., Yasa, I. C., Ceylan, H., Yasa, O., Alapan, Y., & Sitti, M.
Venue
Advanced Therapeutics
Publisher
Wiley
Published
2018-10-10
Volume
2
Issue
1
ISSN
2366-3987 (ISSN-L)
OpenAlex
W2897012346
Cited by
230
References
6
FWCI
13.58
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Mobile Microrobots for Active Therapeutic Delivery. https://app.cochat.ai/papers/10.1002/adtp.201800064
The paper
Erkoc, P., Yasa, I. C., Ceylan, H., Yasa, O., Alapan, Y., & Sitti, M. (2019). Mobile Microrobots for Active Therapeutic Delivery. Advanced Therapeutics. https://doi.org/10.1002/adtp.201800064

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.