Evidence map›Paper›PMID 36778450›Full record

ArticlebioRxiv : the preprint server for biology2023

Multifunctional ferromagnetic fiber robots for navigation, sensing, and treatment in minimally invasive surgery.

Yujing Zhang, Xiaobo Wu, Ram Anand Vadlamani, Youngmin Lim, Jongwoon Kim, Kailee David, Earl Gilbert, You Li, Ruixuan Wang, Shan Jiang and 7 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 3 institutions in 1 country.

Yujing ZhangThe Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA.
Xiaobo WuTranslational Biology, Medicine, and Health Graduate Program, Virginia Tech, Roanoke, VA.
Ram Anand VadlamaniDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA.
Youngmin LimDepartment of Physics, Virginia Tech, Blacksburg, VA.
Jongwoon KimThe Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA.
Kailee DavidDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA.
Earl GilbertSchool of Neuroscience, Virginia Tech, Blacksburg, VA.
You LiThe Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA.
Ruixuan WangThe Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA.
Shan JiangThe Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA.
Anbo WangThe Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA.
Harald SontheimerDepartment of Neuroscience, University of Virginia School of Medicine, Charlottesville, VA.
Daniel EnglishSchool of Neuroscience, Virginia Tech, Blacksburg, VA.
Satoru EmoriDepartment of Physics, Virginia Tech, Blacksburg, VA.
Rafael V DavalosDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA.
Steven PoelzingTranslational Biology, Medicine, and Health Graduate Program, Virginia Tech, Roanoke, VA.
Xiaoting JiaThe Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA.
Virginia Tech · USCarilion Roanoke Memorial Hospital · USUniversity of Virginia · US

Funding

3D multifunctional deep brain interface for seizure detection and interventionR01NS123069 · NINDS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI JIA, XIAOTING, SONTHEIMER, HARALD W · 2021 to 2025
$1.9M
NINDS NIH HHS R01 NS123069
6 · The paper itself

Abstract

Small-scale robots capable of remote active steering and navigation offer great potential for biomedical applications. However, the current design and manufacturing procedure impede their miniaturization and integration of various diagnostic and therapeutic functionalities. Here, we present a robotic fiber platform for integrating navigation, sensing, and therapeutic functions at a submillimeter scale. These fiber robots consist of ferromagnetic, electrical, optical, and microfluidic components, fabricated with a thermal drawing process. Under magnetic actuation, they can navigate through complex and constrained environments, such as artificial vessels and brain phantoms. Moreover, we utilize Langendorff mouse hearts model, glioblastoma microplatforms, and in vivo mouse models to demonstrate the capabilities of sensing electrophysiology signals and performing localized treatment. Additionally, we demonstrate that the fiber robots can serve as endoscopes with embedded waveguides. These fiber robots provide a versatile platform for targeted multimodal detection and treatment at hard-to-reach locations in a minimally invasive and remotely controllable manner.

Identifiers

PMID36778450
PMCPMC9915472
OpenAlexW4318572606

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.