Evidence map›Paper›PMID 38887178›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Non-Invasive Detection of Early-Stage Fatty Liver Disease via an On-Skin Impedance Sensor and Attention-Based Deep Learning.

Kaidong Wang, Samuel Margolis, Jae Min Cho, Shaolei Wang, Brian Arianpour, Alejandro Jabalera, Junyi Yin, Wen Hong, Yaran Zhang, Peng Zhao and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

13 authors.

Kaidong WangDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA.ORCID 0000-0001-5196-9346
Samuel MargolisDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Jae Min ChoDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Shaolei WangDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Brian ArianpourDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Alejandro JabaleraDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Junyi YinDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Wen HongDepartment of Materials Science and Engineering, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Yaran ZhangDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Peng ZhaoDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Enbo ZhuDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Srinivasa ReddyDepartment of Molecular and Medical Pharmacology, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Tzung K HsiaiDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA.ORCID 0000-0003-1734-0792

Funding

Shear Stress and Light-Sheets to Study Cardiac TrabeculationR01HL129727 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSIAI, TZUNG K, MARSDEN, ALISON L · 2015 to 2024
$3.5M
Electronica Impedance to Access Metabolically Active PlaqueR01HL118650 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSIAI, TZUNG K · 2014 to 2022
$3.3M
Intravascular Deployment of a Wirelessly Powered Micro-PacerR01HL149808 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Tzung K Hsiai · 2020 to 2026
$2.8M
Caltech/UCLA Individualized Theranostic Engineering to Advance Metabolic System (iTEAM)T32EB027629 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Dino Di Carlo, Azita Emami · 2020 to 2026
$2.0M
Integrating Volumetric Light-Field with Computational Fluid Dynamics to Study Myocardial Trabeculation and FunctionR01HL159970 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSIAI, TZUNG K, MARSDEN, ALISON L · 2021 to 2024
$2.0M
Exercise-Induced Shear Stress Modulates Metabolic Pathways for Vascular Repair and ProtectionI01BX004356 · VA · VA GREATER LOS ANGELES HEALTHCARE SYSTEM · PI HSIAI, TZUNG K · 2019 to 2024
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BLRD VA I01 BX004356NHLBI NIH HHS R01 HL118650NHLBI NIH HHS R01 HL129727NHLBI NIH HHS R01 HL149808NHLBI NIH HHS R01 HL159970NIBIB NIH HHS T32 EB027629NIH HHS R01 HL118650NIH HHS R01 HL129727NIH HHS R01 HL149808NIH HHS R01 HL159970NIH HHS T32 HL44449Veterans Affairs (VA) I01BX004356
6 · The paper itself

Abstract

Early-stage nonalcoholic fatty liver disease (NAFLD) is a silent condition, with most cases going undiagnosed, potentially progressing to liver cirrhosis and cancer. A non-invasive and cost-effective detection method for early-stage NAFLD detection is a public health priority but challenging. In this study, an adhesive, soft on-skin sensor with low electrode-skin contact impedance for early-stage NAFLD detection is fabricated. A method is developed to synthesize platinum nanoparticles and reduced graphene quantum dots onto the on-skin sensor to reduce electrode-skin contact impedance by increasing double-layer capacitance, thereby enhancing detection accuracy. Furthermore, an attention-based deep learning algorithm is introduced to differentiate impedance signals associated with early-stage NAFLD in high-fat-diet-fed low-density lipoprotein receptor knockout (Ldlr

Indexed as

Deep LearningElectric ImpedanceNon-alcoholic Fatty Liver DiseaseAnimalsDisease Models, AnimalEarly DiagnosisHumansMiceMice, Knockoutattention mechanismdeep learningelectrical impedancenonalcoholic fatty liver diseaseon‐skin sensor

Identifiers

PMID38887178
PMCPMC11336938

What OpenQuestion holds

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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.