Leveraging LLMs for Serendipitous Drug Discovery via Knowledge Graphs

This ArXiv paper explores the application of Large Language Models (LLMs) to identify serendipitous drug repurposing opportunities by navigating and analyzing knowledge graphs. The study's focus on a critical area like drug development suggests potentially significant implications for healthcare and pharmaceutical research.

• •Applies LLMs to knowledge graphs for identifying new drug uses.
• •Focuses specifically on drug repurposing, a potentially cost-effective approach.
• •Utilizes ArXiv as its source, indicating a pre-publication research stage.