Evidence map›Paper›PMID 42022008›Full record

ArticleCell biomaterials2026

A soft magnetoelastic ball for self-powered Parkinson's disease diagnosis.

Trinny Tat, Jing Xu, Xiao Xiao, Songyue Chen, Zhaoqi Duan, Xun Zhao, Guorui Chen, Junyi Yin, Jun Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell biomaterials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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

9 authors.

Trinny TatDepartment 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 XiaoDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Songyue ChenDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Zhaoqi DuanDepartment 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.
Guorui ChenDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Junyi YinDepartment 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

The Effect of Nanoparticle Encapsulated Resveratrol on Treatment of PeriodontitisKL2TR001882 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Elizabeta Nemeth · 2016 to 2026
$13.1M
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 23TPA1141360NCATS NIH HHS KL2 TR001882NCI NIH HHS R01 CA287326NHLBI NIH HHS R01 HL175135
6 · The paper itself

Abstract

Parkinson's disease (PD) affects over 10 million people globally. Yet, its diagnosis, neuropathology, and treatment remain challenging. PD primarily impacts the elderly, often necessitating complex medication regimens and increasing the risk of medication errors and overdoses. In this study, we report a machine-learning-assisted soft magnetoelastic ball for PD diagnosis. Utilizing the magnetoelastic effect and magnetic induction, it converts hand tremors into high-fidelity electrical signals with a 50 ms response time and a 64.6 dB signal-to-noise ratio. With 300% stretchability and Young's modulus of 214.53 kPa, it maintains a pressure sensitivity as low as 0.95 kPa. The device underwent ten simulated PD features before implementation with a one-dimensional convolutional neural network to distinguish, achieving 98.36% classification accuracy. A customized smartphone application was integrated to record and transmit data to clinicians, enabling real-time, data-driven PD diagnostics. This inclusive tool enhances accessibility for individuals with limited technological proficiency or visual, verbal, hearing, or writing impairments.

Identifiers

PMID42022008
PMCPMC13098995

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.