Evidence map›Paper›PMID 39937914›Full record

ArticleScience advances2025

Rapidly self-healing electronic skin for machine learning-assisted physiological and movement evaluation.

Yongju Lee, Xinyu Tian, Jaewon Park, Dong Hyun Nam, Zhuohong Wu, Hyojeong Choi, Juhwan Kim, Dong-Wook Park, Keren Zhou, Sang Won Lee and 7 more

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  6. Soft and Strong: Elastic Conductors with Bio-Inspired Self-Protection.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  7. Autonomous Polymer Frameworks for Sustainable Tissue-Interfaced Plastic Bioelectronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  8. Article
  9. Aerosol Jet Printing for Neuroprosthetic Device Development.Bioengineering (Basel, Switzerland) · 2025
    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

17 authors.

Yongju LeeTerasaki Institute for Biomedical Innovation, Los Angeles, CA 91367, USA.ORCID 0000-0001-9128-2450
Xinyu TianTerasaki Institute for Biomedical Innovation, Los Angeles, CA 91367, USA.ORCID 0009-0009-1522-5951
Jaewon ParkSchool of Electrical and Computer Engineering, Center for Smart Sensor System of Seoul (CS4), University of Seoul, Seoul 02504, Republic of Korea.ORCID 0009-0006-7219-8476
Dong Hyun NamSchool of Electrical and Computer Engineering, Center for Smart Sensor System of Seoul (CS4), University of Seoul, Seoul 02504, Republic of Korea.ORCID 0009-0004-5979-0833
Zhuohong WuDepartment of Nanoengineering, University of California, San Diego, La Jolla, CA 92093, USA.ORCID 0000-0002-5318-9092
Hyojeong ChoiTerasaki Institute for Biomedical Innovation, Los Angeles, CA 91367, USA.
Juhwan KimSchool of Electrical and Computer Engineering, Center for Smart Sensor System of Seoul (CS4), University of Seoul, Seoul 02504, Republic of Korea.
Keren ZhouTerasaki Institute for Biomedical Innovation, Los Angeles, CA 91367, USA.ORCID 0000-0003-1059-4300
Sang Won LeeTerasaki Institute for Biomedical Innovation, Los Angeles, CA 91367, USA.ORCID 0000-0001-5850-6555
Tanveer A TabishDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, British Heart Foundation (BHF) Centre of Research Excellence, University of Oxford, Headington, Oxford OX3 7BN, UK.ORCID 0000-0001-5578-076X
Xuanbing ChengDepartment of Electrical and Computer Engineering and Department of Bioengineering, University of California Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0001-7682-0759
Sam EmaminejadDepartment of Electrical and Computer Engineering and Department of Bioengineering, University of California Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0003-0132-152X
Tae-Woo LeeDepartment of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0002-6449-6725
Hyeok KimTerasaki Institute for Biomedical Innovation, Los Angeles, CA 91367, USA.ORCID 0000-0003-2164-2849
Ali KhademhosseiniTerasaki Institute for Biomedical Innovation, Los Angeles, CA 91367, USA.ORCID 0000-0002-2692-1524
Yangzhi ZhuTerasaki Institute for Biomedical Innovation, Los Angeles, CA 91367, USA.ORCID 0000-0003-2920-3365

Funding

An Autonomous, Non-invasive, and Bioanalytics-enabled Wearable Platform for Precision Nutrition and Personalized MedicineR33DK128711 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EMAMINEJAD, SAM, MILLA, CARLOS · 2023 to 2025
$1.9M
NIDDK NIH HHS R33 DK128711
6 · The paper itself

Abstract

Emerging electronic skins (E-Skins) offer continuous, real-time electrophysiological monitoring. However, daily mechanical scratches compromise their functionality, underscoring urgent need for self-healing E-Skins resistant to mechanical damage. Current materials have slow recovery times, impeding reliable signal measurement. The inability to heal within 1 minute is a major barrier to commercialization. A composition achieving 80% recovery within 1 minute has not yet been reported. Here, we present a rapidly self-healing E-Skin tailored for real-time monitoring of physical and physiological bioinformation. The E-Skin recovers more than 80% of its functionality within 10 seconds after physical damage, without the need of external stimuli. It consistently maintains reliable biometric assessment, even in extreme environments such as underwater or at various temperatures. Demonstrating its potential for efficient health assessment, the E-Skin achieves an accuracy exceeding 95%, excelling in wearable muscle strength analytics and on-site AI-driven fatigue identification. This study accelerates the advancement of E-Skin through rapid self-healing capabilities.

Indexed as

Machine LearningWearable Electronic DevicesHumansMonitoring, PhysiologicMovementSkin

Identifiers

PMID39937914
PMCPMC11818020

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.