BioMedical Literature

Biomedical literature mining focuses on automatically extracting valuable information from the rapidly growing body of scientific publications, aiming to accelerate research and improve healthcare. Current research emphasizes developing and applying advanced natural language processing (NLP) techniques, particularly transformer-based models like BERT and its biomedical variants (e.g., BioBERT, PubMedBERT), along with generative models (e.g., GPT) and graph-based methods, to tackle tasks such as named entity recognition, relation extraction, and summarization. These advancements are crucial for building comprehensive knowledge graphs, facilitating systematic reviews, and enabling more efficient drug discovery and clinical decision-making.