Through R&D in standard clinical terminologies and interoperability across clinical information systems and NLM resources, LHNCBC advances user-tailored information retrieval.

This LHNCBC R&D enables remote collaboration, education, training, and access to NLM information resources and disaster aids anytime, anywhere, and from devices like smart phones.

LHNCBC conducts R&D in text and data mining, machine learning, electronic preservation and on-line access for multi-media, print-only, and centuries-old biomedical documents.

R&D staff at LHNCBC are developing and enhancing large, complex information systems to meet new needs in health information, biomedical research, and historical preservation.

For use in biomedical education and the diagnosis and treatment of diseases, LHNCBC conducts R&D in the analysis, presentation, and retrieval of images and the creation of visualizations.

LHNCBC's NLP R&D improves search and retrieval and facilitates discovery through advances in analyzing biomedical texts, graphical presentation of results, and multi-language search.