AutoRD: An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontologies-enhanced Large Language Models

Understand

Rare diseases affect millions worldwide but often face limited research focus due to their low prevalence.

• This results in prolonged diagnoses and a lack of approved therapies.
• Recent advancements in Large Language Models (LLMs) have shown promise in automating the extraction of medical information, offering potential to improve medical diagnosis and management.
• However, most LLMs lack professional medical knowledge, especially concerning rare diseases, and struggle to handle the latest rare disease information.