Tracking the Metabolites of Health and Disease Using Artificial Intelligence.

Authors

Ahmed Fadiel
Kenneth D. Eichenbaum, Corewell Health East
Aya Hassouneh
Kunle Odunsi

Document Type

Article

Publication Date

2-25-2026

Publication Title

Diseases (Basel, Switzerland)

Abstract

Using AI to analyze metabolite profiles provides critical insights into health, aging, and disease. Metabolomic signatures reveal how lifestyle and therapy impact organ function and cancer progression. This review highlights emerging toolkits for high-throughput data analysis, emphasizing their integration with other omics. Advanced AI approaches facilitate metabolic pathway mapping and accelerate biomarker discovery. By combining AI with multi-omics, researchers can optimize interventions and enhance precision medicine. This article serves as a resource demonstrating AI's potential in diagnostics and drug discovery.

Volume

14

Issue

3

First Page

85

Recommended Citation

Fadiel A, Eichenbaum KD, Hassouneh A, Odunsi K. Tracking the metabolites of health and disease using artificial intelligence. Diseases. 2026 Feb 25;14(3):85. doi: 10.3390/diseases14030085. PMID: 41891986.

DOI

10.3390/diseases14030085

ISSN

2079-9721

PubMed ID

41891986