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AI and machine learning in nutrition: the promise, the challenge, and recommendations

American Journal of Clinical Nutrition(2025)10.1016/j.ajcnut.2025.101126Source: DataRank Database

AI and machine learning in nutrition: the promise, the challenge, and recommendations is a research paper published in American Journal of Clinical Nutrition (2025). On theSindex it has a DataRank of 0.241. It has been cited 4 times.

N/A

0.241DataRank · unranked

Scored on demand from live citation data

Open Access4 citations

Free full text

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (21 grants)Impact (FWCI 3.57)OA: greenTopics (8)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.241

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

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Authors (11)

Rodolphe Barrangou ORCID,Sharon I. Kirkpatrick ORCID,Becca B.R. Jablonski ORCID,Anant Madabhushi ORCID,Carmen D. Tekwe ORCID

Live enrichment

PubMed:41314614 OpenAlex:https://openalex.org/W4416702308

National Institutes of Health

Grant: AOD22022001

National Institutes of Health

Grant: R 01DK132385

DOD Prostate Cancer Research Program

Grant: W81XWH-20-1-0851

Advanced Research Projects Agency for Health

Grant: D25AC00140

U.S. Department of Agriculture

Grant: 1950-51000-071-01S

U.S. Department of Agriculture

Grant: 5 UG1 HD107691-05

National Heart, Lung, and Blood Institute

Grant: R01HL15807101A1

National Heart, Lung, and Blood Institute

Grant: IBX 004121A

National Heart, Lung, and Blood Institute

Grant: 1R01HL15127701A1

National Cancer Institute

Grant: R01CA202752-01A1

National Cancer Institute

Grant: R01CA220581-01A1

National Cancer Institute

Grant: R01CA216579-01A1

National Cancer Institute

Grant: U01CA269181

National Cancer Institute

Grant: R01CA249992-01A1

National Cancer Institute

Grant: 1U01CA239055-01

National Cancer Institute

Grant: 1U01CA248226-01

National Cancer Institute

Grant: R01CA257612-01A1

National Cancer Institute

Grant: R01CA26820701A1

National Cancer Institute

Grant: R01CA268287A1

National Cancer Institute

Grant: 1U54CA254566-01

National Cancer Institute

Grant: R01CA208236-01A1

FWCI

3.57

Citation Percentile

0.9%

Citation Trend

2026

greenLicense: https://www.elsevier.com/legal/tdmrep-license

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC13168997/

publisherhttps://api.elsevier.com/content/article/PII:S000291652500718X?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S000291652500718X?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.ajcnut.2025.101126

Fields of Study

Nutrition, Genetics, and DiseaseArtificial Intelligence in Healthcare and EducationNutritional Studies and Diet

Keywords

Feature (linguistics)Active learning (machine learning)Training setSupport vector machineApplications of artificial intelligence