Unlocking the secrets of metabolomics with Artificial Intelligence: a comprehensive literature review

This comprehensive review synthesizes the wealth of scientific literature pertaining to the application of Artificial Intelligence (AI) in the field of metabolomics. Over the past decade, AI has played an increasingly pivotal role in deciphering the complexities of metabolomic data, offering novel i...

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Bibliographic Details
Main Authors: Karolina Krystyna Kopeć, Federico Cannas, Cristina Piras, Martina Spada, Antonio Noto, Luigi Atzori, Vassilios Fanos
Format: Article
Language:English
Published: Hygeia Press di Corridori Marinella 2024-03-01
Series:Journal of Pediatric and Neonatal Individualized Medicine
Subjects:
Online Access:https://jpnim.com/index.php/jpnim/article/view/1695