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- Title
Precision Medicine Approaches with Metabolomics and Artificial Intelligence.
- Authors
Barberis, Elettra; Khoso, Shahzaib; Sica, Antonio; Falasca, Marco; Gennari, Alessandra; Dondero, Francesco; Afantitis, Antreas; Manfredi, Marcello
- Abstract
Recent technological innovations in the field of mass spectrometry have supported the use of metabolomics analysis for precision medicine. This growth has been allowed also by the application of algorithms to data analysis, including multivariate and machine learning methods, which are fundamental to managing large number of variables and samples. In the present review, we reported and discussed the application of artificial intelligence (AI) strategies for metabolomics data analysis. Particularly, we focused on widely used non-linear machine learning classifiers, such as ANN, random forest, and support vector machine (SVM) algorithms. A discussion of recent studies and research focused on disease classification, biomarker identification and early diagnosis is presented. Challenges in the implementation of metabolomics–AI systems, limitations thereof and recent tools were also discussed.
- Subjects
INDIVIDUALIZED medicine; ARTIFICIAL intelligence; TECHNOLOGICAL innovations; METABOLOMICS; SUPPORT vector machines
- Publication
International Journal of Molecular Sciences, 2022, Vol 23, Issue 19, p11269
- ISSN
1661-6596
- Publication type
Article
- DOI
10.3390/ijms231911269