Advances in Machine Learning for Drug Repurposing: From Methodologies to Precision Medicine with Case Studies in COVID-19, Parkinson's Disease, and Cancer.
This review investigates recent advances in machine learning (ML) for drug repurposing, with applications spanning COVID-19, Parkinson's disease, and cancer. We provide a methodological taxonomy of ML techniques including supervised learning (e.g., random forests, SVMs), unsupervised clustering and dimensionality reduc...