A novel retrieval-augmented knowledge mining approach that combines large language models with knowledge graphs to transform biomedical research and clinical decision-making.

• Addresses limitations in knowledge graph construction by handling complex terminology and rapid knowledge evolution
• Enhances LLM capabilities through specialized retrieval mechanisms for cross-document connections
• Creates personalized treatment plans by integrating fragmented medical evidence
• Enables more accurate biomedical reasoning and knowledge discovery

This innovation empowers healthcare professionals to access comprehensive, integrated biomedical information, leading to more informed clinical decisions and personalized patient care approaches.

A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support