RDGuru: A Conversational Intelligent Agent for Rare Diseases

Intelligent Conversational Agent for Rare Diseases—RDGuru: Cutting-edge Technology Powers a New Revolution in Clinical Diagnosis Academic Background and Research Motivation Rare Diseases (RD) refer to disease categories that affect fewer than 6.5 to 10 individuals per 10,000 population. Their individual rarity, complex clinical features, and divers...

Cancer Gene Identification through Integrating Causal Prompting Large Language Model with Omics Data–Driven Causal Inference

Cancer gene identification is a core challenge in the fields of basic cancer research and precision medicine. Recently, a research team from Jilin University and Zhejiang Sci-Tech University published an original study titled “Cancer gene identification through integrating causal prompting large language model with omics data–driven causal inferenc...

AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models

AutoAlign: A Fully Automated and Efficient Knowledge Graph Alignment Method Driven by Large Language Models Knowledge Graphs (KG) have been widely applied in fields such as question-answering systems, dialogue systems, and recommendation systems. However, different Knowledge Graphs often store the same real-world entities in various forms, leading ...