Evidence map›Paper›PMID 37631448›Full record

ArticlePolymers2023

A Water-Resistant, Self-Healing Encapsulation Layer for a Stable, Implantable Wireless Antenna.

Soojung An, Hyunsang Lyu, Duhwan Seong, Hyun Yoon, In Soo Kim, Hyojin Lee, Mikyung Shin, Keum Cheol Hwang, Donghee Son

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Soojung AnDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Hyunsang LyuDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Duhwan SeongDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Hyun YoonDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
In Soo KimNanophotonics Research Center, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea.ORCID 0000-0003-1615-3119
Hyojin LeeBiomaterials Research Center, Biomedical Research Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea.
Mikyung ShinDepartment of Biomedical Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea.ORCID 0000-0002-7990-5210
Keum Cheol HwangDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.ORCID 0000-0002-8074-1137
Donghee SonDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.ORCID 0000-0002-3772-8009

Funding

ICT Creative Consilience program IITP-2023-2020-0-01821Institute of Information & Communications Technology Planning & Evaluation 2020-0-00261National Research Foundation of Korea 2020R1C1C1005567National Research Foundation of Korea 2022M3E5E9018583
6 · The paper itself

Abstract

Polymers for implantable devices are desirable for biomedical engineering applications. This study introduces a water-resistant, self-healing fluoroelastomer (SHFE) as an encapsulation material for antennas. The SHFE exhibits a tissue-like modulus (approximately 0.4 MPa), stretchability (at least 450%, even after self-healing in an underwater environment), self-healability, and water resistance (WVTR result: 17.8610 g m

Indexed as

encapsulationfluoroelastomerimplantable antennapackagingself-healingwater-resistantwireless communication

Identifiers

PMID37631448
PMCPMC10457836

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.