Tracking the Metabolites of Health and Disease Using Artificial Intelligence
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.
Fields of Study & Subjects
Metabolomics and Mass Spectrometry Studies
Bioinformatics and Genomic Networks
Computational Drug Discovery Methods
Publication details
- Journal / source
- Diseases
- Volume
- 14
- Issue
- 3
- Pages
- 85–85
- Publication date
- 25 February 2026
- Language
- EN