Evidence map›Paper›PMID 40003653›Full record

ArticleLife (Basel, Switzerland)2025

The Development of Machine Learning-Assisted Software for Predicting the Interaction Behaviours of Lactic Acid Bacteria and

Fatih Tarlak, Jean Carlos Correia Peres Costa, Ozgun Yucel

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2025. 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. Biological Control ofFoods (Basel, Switzerland) · 2026
    Article
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

3 authors.

Fatih TarlakDepartment of Bioengineering, Faculty of Engineering, Gebze Technical University, Gebze 41400, Kocaeli, Turkey.ORCID 0000-0001-5351-1865
Jean Carlos Correia Peres CostaApplied Mycology Unit, Department of Food Technology, Engineering and Science, AGROTECNIO-CERCA Center, University of Lleida, 25198 Lleida, Spain.
Ozgun YucelDepartment of Chemical Engineering, Gebze Technical University, Gebze 41400, Kocaeli, Turkey.ORCID 0000-0001-8916-2628

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biopreservation technology has emerged as a promising approach to enhance food safety and extend shelf life by leveraging the antimicrobial properties of beneficial microorganisms. This study aims to develop precise predictive models to characterize the growth and interaction dynamics of lactic acid bacteria (LAB) and

Indexed as

biopreservationinteraction modellactic acid bacteriaListeria monocytogenesmachine learning

Identifiers

PMID40003653
PMCPMC11856248

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.