Machine Learning Applications for Drug Repurposing

Machine learning is transforming drug repurposing by efficiently identifying new therapeutic uses for existing drugs through the analysis of large biomedical datasets. This approach enhances precision medicine and personalized healthcare by uncovering drug-disease connections and predicting side effects. The chapter reviews various case studies, highlighting both the successes and challenges in this field, and emphasizes the importance of addressing ethical and privacy concerns related to patient data. It advocates for the integration of pharmaceutical research, clinical practice, and computer sciences to advance healthcare.