Precision Medicine Approaches with Metabolomics and Artificial Intelligence.
artificial intelligence
biomarkers
machine learning
metabolomics
precision medicine
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
24 Sep 2022
24 Sep 2022
Historique:
received:
18
05
2022
revised:
14
09
2022
accepted:
20
09
2022
entrez:
14
10
2022
pubmed:
15
10
2022
medline:
18
10
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 36232571
pii: ijms231911269
doi: 10.3390/ijms231911269
pmc: PMC9569627
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : MIUR Italy
ID : Department of Excellence
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