Evidence map›Paper›PMID 42032196›Full record

Articlenpj biomedical innovations2026

A multi therapy bioelectronic wound dressing.

Kaelan Schorger, Hsin-Ya Yang, Sujung Kim, George Luka, Shaamil Pirzada, Prabhat Baniya, Anthony Gallegos, Willie Feng-Liu, Maryam Tebyani, Sydnie Figuerres and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in npj biomedical innovations, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

19 authors.

Kaelan SchorgerDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Hsin-Ya YangDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Sujung KimDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
George LukaDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Shaamil PirzadaDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Prabhat BaniyaDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Anthony GallegosDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Willie Feng-LiuDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Maryam TebyaniDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Sydnie FiguerresDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Kevin JiangDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Houpu LiDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Celeste FrancoDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Elham AslankoohiDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Jaime TenedorioDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Athena M SoulikaDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Mircea TeodorescuDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Roslyn Rivkah IsseroffDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Marco RolandiDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA. mrolandi@ucsc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic and acute skin wounds affect more than six million people in the United States each year. Many heal with basic care, but others do not and become infected, scarred, or chronic. These wounds reduce quality of life and increase healthcare costs. Bioelectronic integrated wound dressings and smart bandages can improve healing by delivering treatments locally and on demand, including electric field therapy and the release of pharmacological compounds. Localized bioelectronic delivery improves healing outcomes and reduces off-target effects. Here, we demonstrate a flexible bioelectronic wound dressing that combines electric field therapy and drug delivery, employing integrated microfluidics to switch between therapeutic modalities. Treatment with the bioelectronic dressing in a pilot porcine wound study showed promising results, including increased wound closure rates, improved tissue maturity, and reduced inflammatory response, compared with standard of care.

Identifiers

PMID42032196
PMCPMC13055043

What OpenQuestion holds

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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.