AI for drug repurposing involves using advanced machine learning algorithms and data analytics to identify new therapeutic uses for existing medications. By analyzing large datasets, including clinical trials, biological databases, and scientific literature, AI can uncover patterns and connections that might be overlooked through traditional methods. This approach accelerates the drug discovery process, reduces development costs, and offers the potential to quickly find treatments for diseases with unmet medical needs. It has gained significant attention, especially in finding potential treatments for complex conditions like cancer, neurodegenerative disorders, and emerging infectious diseases.