Drug Repositioning

Drug repositioning repurposes existing drugs for new therapeutic indications, accelerating drug development and reducing costs. Current research heavily utilizes machine learning, particularly graph neural networks and contrastive learning methods, to predict drug-disease associations by leveraging diverse data sources like biomedical databases and patent information. These computational approaches aim to improve prediction accuracy and offer explainable AI (XAI) to enhance the understanding of underlying mechanisms, ultimately facilitating more efficient and targeted drug discovery.