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A multi-omics machine learning classifier for outgrowth of cow's milk allergy in children

Title: A multi-omics machine learning classifier for outgrowth of cow's milk allergy in children
Authors: Hendrickx, Diana M.; Savova, Mariyana V.; Zhu, Pingping; An, Ran; Boeren, Sjef; Klomp, Kelly; Mutte, Sumanth K.; PRESTO study team; Wopereis, Harm; van der Molen, Renate G.; Harms, Amy C.; Belzer, Clara
Contributors: Danone Nutricia Research; Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Source: Molecular Omics ; volume 21, issue 4, page 343-352 ; ISSN 2515-4184
Publisher Information: Royal Society of Chemistry (RSC)
Publication Year: 2025
Description: A multi-omics machine learning classifier was developed to distinguish between infants that outgrew their cow's milk allergy and those who did not.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1039/d4mo00245h
Availability: https://doi.org/10.1039/d4mo00245h; http://pubs.rsc.org/en/content/articlepdf/2025/MO/D4MO00245H
Rights: http://creativecommons.org/licenses/by/3.0/
Accession Number: edsbas.2DEA0E36
Database: BASE