Evidence map›Paper›PMID 38271191›Full record

ArticleACS applied materials & interfaces2024

Machine Learning-Assisted Optimization of Drug Combinations in Zeolite-Based Delivery Systems for Melanoma Therapy.

Ana Raquel Bertão, Filipe Teixeira, Viktoriya Ivasiv, Pier Parpot, Cristina Almeida-Aguiar, António M Fonseca, Manuel Bañobre-López, Fátima Baltazar, Isabel C Neves

Erratum issuedOpen access · hybridAbstract 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. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 47% of its field
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, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Ana Raquel BertãoCQUM, Centre of Chemistry, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal.
Filipe TeixeiraCQUM, Centre of Chemistry, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal.
Viktoriya IvasivCQUM, Centre of Chemistry, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal.
Pier ParpotCQUM, Centre of Chemistry, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal.
Cristina Almeida-AguiarCBMA - Centre of Molecular and Environmental Biology, University of Minho, 4710-057 Braga, Portugal.
António M FonsecaCQUM, Centre of Chemistry, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal.
Manuel Bañobre-LópezAdvanced (Magnetic) Theranostic Nanostructures Lab, Nanomedicine Group, International Iberian Nanotechnology Laboratory (INL), Av. Mestre José Veiga, 4715-330 Braga, Portugal.ORCID 0000-0003-4319-2631
Fátima BaltazarLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057 Braga, Portugal.
Isabel C NevesCQUM, Centre of Chemistry, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal.ORCID 0000-0001-9705-9444
University of Minho · PTInternational Iberian Nanotechnology Laboratory · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two independent artificial neural network (ANN) models were used to determine the optimal drug combination of zeolite-based delivery systems (ZDS) for cancer therapy. The systems were based on the NaY zeolite using silver (Ag

Indexed as

MelanomaZeolitesAnti-Bacterial AgentsEscherichia coliFluorouracilHumansSilverStaphylococcus aureusAnti-Bacterial AgentsFluorouracilSilverZeolitesANN modelsmachine learningmelanoma therapymicrobial infectionsZDS formulationszeolite

Identifiers

PMID38271191
PMCPMC10859889
OpenAlexW4391232248

What OpenQuestion holds

Textmetadata
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.