# Tracking the Metabolites of Health and Disease Using Artificial Intelligence

## TL;DR

This paper explores how AI can analyze metabolite data to better understand health, disease, and aging, and improve diagnostics and drug discovery.

## Contribution

The paper introduces emerging AI toolkits for metabolomic analysis and their integration with multi-omics for precision medicine.

## Key findings

- AI helps map metabolic pathways and discover biomarkers more efficiently.
- Combining AI with multi-omics improves understanding of lifestyle and therapy effects on health.
- AI-driven metabolomics supports optimized interventions and precision medicine.

## 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.