Drug Repurposing

Drug repurposing aims to identify new therapeutic uses for existing drugs, accelerating drug development and reducing costs. Current research heavily utilizes machine learning, employing diverse models such as graph convolutional networks, graph transformers, and contrastive learning approaches, often integrated with knowledge graphs and natural language processing to analyze diverse biomedical data. This strategy offers a significant advancement in tackling complex diseases by leveraging existing safety and efficacy data, potentially leading to faster and more cost-effective treatments.