Within the biomedical domain, a significant amount of detailed information is embedded in narrative documents, such as clinical notes of patients and biomedical articles. Natural language processing (NLP) technology provides an efficient way to automatically extract and standardize information from these texts, and has been widely used to support a range of applications, such as real-world studies using electronic health records, clinical decision support systems to improve care quality and safety, and literature mining to accelerate scientific discovery. BIDS faculty members are leading experts in biomedical NLP, having developed novel algorithms and useful tools in this area, which have been successfully applied to diverse applications in clinical research and practice. For more information on this topic, please contact Dr. Hua Xu.