Evidence map›Paper›PMID 41868100›Full record

ArticleCell reports. Physical science2026

Biocompatibility of large-area two-dimensional electronic materials with neural stem cells.

R Taranath Jayanth, Rebecca Duquette, Shanmukh Kutagulla, Sabrina Pietrosemoli Salazar, Emmanuel Okogbue, Jingyuan Zhou, Patrick Carmichael, Yeonwoong Jung, Xiangfeng Duan, Dmitry Kireev and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports. Physical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

R Taranath JayanthDepartment of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78758, USA.
Rebecca DuquetteDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Shanmukh KutagullaDepartment of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78758, USA.
Sabrina Pietrosemoli SalazarDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Emmanuel OkogbueDepartment of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816, USA.
Jingyuan ZhouDepartment of Chemistry and Biochemistry, University of California at Los Angeles, Los Angeles, CA 90095-1569, USA.
Patrick CarmichaelTexas Materials Institute, The University of Texas at Austin, Austin, TX 78758, USA.
Yeonwoong JungDepartment of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816, USA.
Xiangfeng DuanDepartment of Chemistry and Biochemistry, University of California at Los Angeles, Los Angeles, CA 90095-1569, USA.
Dmitry KireevDepartment of Biomedical Engineering, University of Massachusetts at Amherst, Amherst, MA 01003, USA.
Stephanie K SeidlitsDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Deji AkinwandeDepartment of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78758, USA.

Funding

Multi-organ-on-chip device for modeling opioid reinforcement and withdrawal, and the negative affective component of pain: a therapeutic screening tool.UH3TR003148 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ASHAMMAKHI, NUREDDIN, MAIDMENT, NIGEL T · 2022 to 2024
$2.4M
NCATS NIH HHS UH3 TR003148
6 · The paper itself

Abstract

Two-dimensional (2D) electronic materials are emerging candidates for flexible neural interfaces, yet their biocompatibility remains unclear because most studies use exfoliated flakes or suspensions. Here, we report a systematic

Identifiers

PMID41868100
PMCPMC13004282

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.