Review
Open access
Aug 2026
Machine Learning–Integrated Metabolomics for Precision Pharmacotherapy: Advances, Challenges, and Clinical Translation
This review provides an overview of commonly applied ML methodologies in metabolomics-based pharmacological studies, including supervised models (Random Forest, Extreme Gradient Boosting, Support Vector Machine, Logistic Regression), unsupervised models (K-Means Clustering, Principal Component Analysis), and deep learn...
Pan Li, Jing Mao, Xiang-Lin Hu et al.
· Metabolites · 0 citations