Evidence map›Paper›PMID 42196654›Full record

ArticleInternational journal of environmental research and public health2026

Integrating Phenotypic and Genomic Data with Machine Learning to Predict Antimicrobial Resistance and Identify Genetic Biomarkers in

Sarah Halleluyah Adeyemi, Roshan Paudel

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 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

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

2 authors.

Sarah Halleluyah AdeyemiBioinformatics Program, Department of Computer Science, School of Computer Science, Mathematics and Natural Sciences, Morgan State University, Baltimore, MD 21251, USA.ORCID 0009-0001-4272-2234
Roshan PaudelBioinformatics Program, Department of Computer Science, School of Computer Science, Mathematics and Natural Sciences, Morgan State University, Baltimore, MD 21251, USA.ORCID 0000-0001-8134-8348

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance in

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialEscherichia coliMachine LearningBoosting Machine Learning AlgorithmsGenetic MarkersGenomicsMicrobial Sensitivity TestsPhenotypePhylogenyPredictive Learning ModelsRandom ForestAnti-Bacterial AgentsGenetic Markersantimicrobial resistanceEscherichia coligenomic biomarkersmachine learningphenotypic dataphylogenetic analysis

Identifiers

PMID42196654
PMCPMC13207280

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.