Evidence map›Paper›PMID 40851853›Full record

ArticleAdvanced sensor research2024

Emerging Additive Manufacturing Methods for Wearable Sensors: Opportunities to Expand Access to Personalized Health Monitoring.

Ziyu Yin, Kaylee M Clark, Tyler R Ray

Abstract read
In one paragraph

Article in Advanced sensor research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

3 authors.

Ziyu YinDepartment of Mechanical Engineering, University of Hawai'i at Mānoa, Honolulu, HI 96822 USA.
Kaylee M ClarkDepartment of Mechanical Engineering, University of Hawai'i at Mānoa, Honolulu, HI 96822 USA.
Tyler R RayDepartment of Mechanical Engineering, University of Hawai'i at Mānoa, Honolulu, HI 96822 USA.

Funding

TRPA1 Physiology in Diabetes, Metabolic Syndrome, and MetabolismP20GM113134 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI Kathryn Jaques Schunke · 2017 to 2026
$21.5M
NIGMS NIH HHS P20 GM113134
6 · The paper itself

Abstract

Persistent disparities exist in access to state-of-the-art healthcare disproportionately affecting underserved and vulnerable populations. Advances in wearable sensors enabled by additive manufacturing (AM) offer new opportunities to address such disparities and enhance equitable access advanced diagnostic technologies. Additive manufacturing provides a pathway to rapidly prototype bespoke, multifunctional wearable sensors thereby circumventing existing barriers to innovation for resource-limited settings imposed by the need for specialized facilities, technical expertise, and capital-intensive processes. This review examines recent progress in the additive manufacture of wearable platforms for physiological health monitoring. Supported by an initial overview of relevant techniques, representative examples of 3D printed wearable sensors highlight the potential for measuring clinically-relevant biophysical and biochemical signals of interest. The review concludes with a discussion of the promise and utility of additive manufacturing for wearable sensors, emphasizing opportunities for expanding access to vital healthcare technology and addressing critical health disparities.

Indexed as

3D printingAdditive manufacturinghealthcare devicespersonalized medicinewearable sensors

Identifiers

PMID40851853
PMCPMC12369637

What Socratic holds

Textmetadata
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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 Socratic graph.