Evidence map›Paper›PMID 39087586›Full record

ArticleACS applied materials & interfaces2024

Machine Learning Allowed Interpreting Toxicity of a Fe-Doped CuO NM Library Large Data Set─An Environmental In Vivo Case Study.

Janeck J Scott-Fordsmand, Susana I L Gomes, Suman Pokhrel, Lutz Mädler, Matteo Fasano, Pietro Asinari, Kaido Tämm, Jaak Jänes, Mónica J B Amorim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS applied materials & interfaces, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Janeck J Scott-FordsmandDepartment of Ecoscience, Aarhus University, C.F. Mo̷llers Alle 4, DK-8000 Aarhus, Denmark.ORCID 0000-0002-2260-1224
Susana I L GomesDepartment of Biology & CESAM, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0001-7537-2341
Suman PokhrelDepartment of Production Engineering, University of Bremen, Badgasteiner Str. 1, 28359 Bremen, Germany.ORCID 0000-0001-5712-2824
Lutz MädlerDepartment of Production Engineering, University of Bremen, Badgasteiner Str. 1, 28359 Bremen, Germany.ORCID 0000-0002-7073-0733
Matteo FasanoDepartment of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino 10129, Italy.ORCID 0000-0002-3997-3681
Pietro AsinariDepartment of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino 10129, Italy.ORCID 0000-0003-1814-3846
Kaido TämmInstitute of Chemistry, University of Tartu, Ravila 14a, Tartu 50411, Estonia.
Jaak JänesInstitute of Chemistry, University of Tartu, Ravila 14a, Tartu 50411, Estonia.
Mónica J B AmorimDepartment of Biology & CESAM, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0001-8137-3295

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The wide variation of nanomaterial (NM) characters (size, shape, and properties) and the related impacts on living organisms make it virtually impossible to assess their safety; the need for modeling has been urged for long. We here investigate the custom-designed 1-10% Fe-doped CuO NM library. Effects were assessed using the soil ecotoxicology model

Indexed as

CopperIronMachine LearningOligochaetaAnimalsNanostructuresSoil PollutantsCoppercupric oxideIronSoil Pollutantsadvanced materialsecotoxicologymachine learningsafer and sustainable-by-design (SSbD)soil

Identifiers

PMID39087586
PMCPMC11331442

What OpenQuestion holds

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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.