Biomedical Knowledge

Biomedical knowledge management focuses on efficiently organizing and accessing the vast and complex information within the biomedical literature and clinical data. Current research emphasizes leveraging large language models (LLMs) and knowledge graphs (KGs) for tasks like question answering, information retrieval, and knowledge extraction, often employing techniques like retrieval-augmented generation (RAG), contrastive pre-training, and various fine-tuning strategies with architectures such as BERT and transformers. These advancements aim to improve the accuracy, efficiency, and accessibility of biomedical information, ultimately accelerating scientific discovery and enhancing clinical decision-making. The integration of biomedical knowledge into machine learning models for tasks like diagnosis and prognosis is also a significant area of focus.