Evidence map›Paper›PMID 34623919›Full record

ArticleScience advances2021

Biosymbiotic, personalized, and digitally manufactured wireless devices for indefinite collection of high-fidelity biosignals.

Tucker Stuart, Kevin Albert Kasper, Ifechukwude Christian Iwerunmor, Dylan Thomas McGuire, Roberto Peralta, Jessica Hanna, Megan Johnson, Max Farley, Thomas LaMantia, Paul Udorvich and 1 more

Abstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  14. Biosymbiotic platform for chronic long-range monitoring of biosignals in limited resource settings.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

11 authors.

Tucker StuartDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA.ORCID 0000-0002-4643-6868
Kevin Albert KasperDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA.
Ifechukwude Christian IwerunmorDepartment of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA.
Dylan Thomas McGuireDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA.
Roberto PeraltaDepartment of Aerospace and Mechanical Engineering, University of Arizona, Tucson, AZ 85721, USA.ORCID 0000-0003-3429-7466
Jessica HannaDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA.ORCID 0000-0002-7284-5956
Megan JohnsonDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA.
Max FarleyDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA.
Thomas LaMantiaDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA.
Paul UdorvichDepartment of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA.
Philipp GutrufDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA.ORCID 0000-0002-7183-7268

Funding

University of Arizona's Initiative for Maximizing Student Development (IMSD)T32GM139779 · NIGMS · UNIVERSITY OF ARIZONA · PI FRANS E TAX · 2022 to 2026
$2.9M
NIGMS NIH HHS T32 GM139779
6 · The paper itself

Abstract

Digital medicine, the ability to stream continuous information from the body to gain insight into health status, manage disease, and predict onset health problems, is only gradually developing. Key technological hurdles that slow the proliferation of this approach are means by which clinical grade biosignals are continuously obtained without frequent user interaction. To overcome these hurdles, solutions in power supply and interface strategies that maintain high-fidelity readouts chronically are critical. This work introduces a previously unexplored class of devices that overcomes the limitations using digital manufacturing to tailor geometry, mechanics, electromagnetics, electronics, and fluidics to create unique personalized devices optimized to the wearer. These elastomeric, three-dimensional printed, and laser-structured constructs, called biosymbiotic devices, enable adhesive-free interfaces and the inclusion of high-performance, far-field energy harvesting to facilitate continuous wireless and battery-free operation of multimodal and multidevice, high-fidelity biosensing in an at-home setting without user interaction.

Identifiers

PMID34623919
PMCPMC8500520

What OpenQuestion holds

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LicenceCC BY-NC
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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.