Biomedical Entity

Biomedical entity processing focuses on identifying and linking mentions of biological concepts (e.g., genes, diseases, chemicals) within text and other data sources to structured knowledge bases. Current research emphasizes improving the accuracy and efficiency of this process, particularly for rare entities and noisy data, using advanced techniques like transformer-based language models, graph neural networks, and multimodal approaches that integrate text, images, and molecular structures. These advancements are crucial for accelerating biomedical knowledge discovery, facilitating drug development, and improving clinical decision-making by enabling more efficient analysis of the vast and growing body of biomedical literature and data.