Dear WG Members,
Announcing our next seminar from Dr. Carolina Gonzales Carvazos , happening next Thursday @ 10am ET!
Title: Enhancing Drug Repositioning with Interpretable Graph Neural Network (GNN) Models on Biomedical Knowledge Graphs
Abstract: Drug repositioning — finding new uses for already-approved drugs — is faster and safer than developing entirely new compounds from scratch. Biomedical Knowledge Graphs (KGs) are computational networks that map complex relationships between drugs, diseases, genes, and proteins, and can be mined to uncover hidden drug–disease connections that may point to new treatments. While Graph Neural Networks (GNNs) have shown promise in predicting these connections, they function as black boxes, providing no explanation for their predictions — making it difficult for researchers to trust or act on the results. In our work, we developed a GNN-based framework that not only predicts new drug–disease associations but also generates interpretable reasoning paths through the biomedical knowledge graph. This allows each prediction to be traced back to biologically meaningful evidence, improving the transparency and reliability of AI-driven drug repositioning.
🗓️ Please click the links below for further Details, Zoom link, and community updates.
Whether you're a regular or new to our series, we look forward to welcoming many of you to the discussion.
Cheers,
The IMOBIO Team
Dear WG Members,
A reminder our next seminar from Dr. Carolina Gonzales Carvazos , happening this Thursday @ 10am ET!