Discover Disease-Gene Associations, with Knowledge Graphs and AI

KG2ML-RAG connects biomedical entities to diseases, visualizes their relationships, and uses RAG-powered analysis of published scientific literature to provide evidence-based explanations for newly identified associations using Positive and Unlabeled (PU) learning. Explore established and PU-predicted biomedical associations through an interactive knowledge graph.