Evidence map›Paper›PMID 42032082›Full record

Articlenpj biomedical innovations2025

Towards adaptive bioelectronic wound therapy with integrated real-time diagnostics and machine learning-driven closed-loop control.

Houpu Li, Hsin-Ya Yang, Fan Lu, Wan Shen Hee, Narges Asefifeyzabadi, Prabhat Baniya, Anthony Gallegos, Kaelan Schorger, Kan Zhu, Cynthia Recendez and 21 more

Abstract read
In one paragraph

Article in npj biomedical innovations, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. A multi therapy bioelectronic wound dressing.npj biomedical innovations · 2026
    Article
  8. Materials and System Design for Self-Decision Bioelectronic Systems.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  9. Review
  10. Review
  11. Article
  12. Article
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

31 authors.

Houpu Li *Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, USA.
Hsin-Ya Yang *Department of Dermatology, School of Medicine, University of California Davis, Davis, CA, USA.
Fan Lu *Department of Applied Mathematics, University of California Santa Cruz, Santa Cruz, CA, USA.
Wan Shen Hee *Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, USA.
Narges AsefifeyzabadiDepartment 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 Dermatology, School of Medicine, University of California Davis, Davis, CA, USA.
Kaelan SchorgerDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, USA.
Kan ZhuDepartment of Ophthalmology, School of Medicine, University of California Davis, Davis, CA, USA.
Cynthia RecendezDepartment of Ophthalmology, School of Medicine, University of California Davis, Davis, CA, USA.
Maryam TebyaniDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, USA.
Manasa KesapragadaDepartment of Applied Mathematics, University of California Santa Cruz, Santa Cruz, CA, USA.
Gordon KellerDepartment 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.
Ksenia ZlobinaDepartment of Applied Mathematics, University of California Santa Cruz, Santa Cruz, CA, USA.
Tiffany NguyenDepartment 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.
Celeste FrancoDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, USA.
Koushik DevarajanDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, USA.
Alexie BarbeeDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, USA.
Kylie LinDepartment of Ophthalmology, School of Medicine, University of California Davis, Davis, CA, USA.
Shannon M ClaytonPediatric Regenerative Medicine, Shriners Hospitals for Children, Sacramento, CA, USA.
Annabelle EatonDepartment 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.
Athena M SoulikaPediatric Regenerative Medicine, Shriners Hospitals for Children, Sacramento, CA, USA.
Min ZhaoDepartment of Dermatology, School of Medicine, University of California Davis, Davis, CA, USA. minzhao@ucdavis.edu.
Mircea TeodorescuDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, USA. mteodore@ucsc.edu.
Marcella GomezDepartment of Applied Mathematics, University of California Santa Cruz, Santa Cruz, CA, USA. mgomez26@ucsc.edu.
Roslyn Rivkah IsseroffDepartment of Dermatology, School of Medicine, University of California Davis, Davis, CA, USA. rrisseroff@ucdavis.edu.
Marco RolandiDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, USA. mrolandi@ucsc.edu.

Funding

Advanced Research Projects Agency for Health D20AC00003Defense Advanced Research Projects Agency D20AC00003
6 · The paper itself

Abstract

Impaired wound healing affects millions worldwide, especially those without timely healthcare access. Here, we have developed a portable and wireless platform for real-time, continuous, and adaptive bioelectronic wound therapy (a-Heal). The platform integrates a wearable device for wound imaging and delivery of therapy with an ML Physician. The ML Physician analyzes wound images, diagnoses the wound stage, and prescribes therapies to guide optimal healing. Bioelectronic actuators in the wearable device deliver therapies, including electric fields or drugs, dynamically in a closed-loop system. a-Heal evaluates wound progress, adapts therapy as needed, and sends updates to human physicians through a graphical user interface, which also supports manual intervention. In preliminary studies using a large animal model, a-Heal promoted tissue regeneration, reduced inflammation, and accelerated healing, highlighting its potential in personalized wound care.

Identifiers

PMID42032082
PMCPMC13055037

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.