Evidence map›Paper›PMID 42078076›Full record

ArticleMatter2026

Dynamic pressure mapping of infant cervical spines using a wearable magnetoelastic patch.

Yaqi Liu, Jing Xu, Xiao Wan, Ziyuan Che, Xun Zhao, Yihao Zhou, Guorui Chen, Yifei Du, Runlin Wang, Jun Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Matter, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Advances in Wearable Bioimaging.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  4. Article
  5. Artificial Intelligence-Driven Soft Bioelectronics for Self-Powered Respiration Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  6. 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

10 authors.

Yaqi LiuDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Jing XuDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Xiao WanDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Ziyuan CheDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Xun ZhaoDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Yihao ZhouDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Guorui ChenDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Yifei DuDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Runlin WangDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Jun ChenDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Funding

Magnetoelastic Vascular GraftsR01HL175135 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Jun Chen · 2025 to 2026
$1.1M
A soft magnetoelastic microneedle patch for rapid skin cancer screeningR01CA287326 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Jun Chen · 2024 to 2026
$1.1M
American Heart Association-American Stroke Association 23IPA1054908American Heart Association-American Stroke Association 23SCEFIA1157587American Heart Association-American Stroke Association 23TPA1141360NCI NIH HHS R01 CA287326NHLBI NIH HHS R01 HL175135
6 · The paper itself

Abstract

The infant cervical spine is immature and flexible, with a relatively large head and weak neck muscles, making it the most common site for fractures. We present a kirigami-inspired soft magnetoelastic patch for continuous quantification and dynamic mapping of biomechanical pressure on the infant cervical spine, enabling early diagnosis and prevention of injury. The patch is biocompatible and waterproof, with a skin-matched Young's modulus of 108.2 kPa and a signal-to-noise ratio of 34.05 dB. Its kirigami structure enhances permeability, stretchability, and scalability. Combined with machine-learning algorithms, the patch quantitatively measures and decodes cervical spine pressure with up to 99.2% accuracy, providing precise, reliable data for early detection and management of disorders. This innovative system offers a safer, more comfortable, real-time, and non-invasive strategy for infant cervical spine care.

Identifiers

PMID42078076
PMCPMC13134646

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.