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Article

Artificial Intelligence-Driven Multidimensional Phenotyping of Gut Metabolic States for Personalized Prebiotic, Probiotic, and Postbiotic Strategies.

Molecular nutrition & food research - 1 Sept 2026

Tóth Andrej, Furka Samuel, Vengríni Jerguš, Neogrády Pavel, Bandura Andrej, Dueñas Casas Saul, Petrovič Robert, Tomka Miroslav, Slopovský Ján, Furka Daniel

Abstract excerpt

This study presents multidimensional physicochemical phenotyping of human gut metabolic states using integrated multimodal profiling and machine learning. A total of 680 stool samples were analyzed using time-resolved optical, electrochemical, acoustic, magnetic, and spectral measurements implemented in a compact 3D-printed screening platform. Multivariate analysis explained 78.4% of structured variance, and...

Read the complete abstract on PubMed

Topics

Humans
Feces
Phenotype
Probiotics
Prebiotics
Artificial Intelligence

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Gastrointestinal Microbiome

RNA, Ribosomal, 16S

Machine Learning

Dysbiosis

Source

Open in PubMed Open full text

Identifiers

PMID: 42750414
DOI: 10.1002/mnfr.70607
PMCID: PMC13583544

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 23 Oct 2026.

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