Health Data-Powered Discovery research develops methods for gaining insights from large health databases, while also learning the strengths and weaknesses, and improving these datasets when possible. Health information standards research is organized into two major areas: to assess whether specific standards are fit for purpose and to investigate standards “in action”.
The Lister Hill National Center for Biomedical Communications (LHNCBC) Natural Language Processing research and development improves search and retrieval and facilitates discovery through advances in analyzing biomedical texts, graphical presentation of results, and multi-language search.
The Lister Hill National Center for Biomedical Communications (LHNCBC) conducts research and development in advancing machine learning and artificial intelligence (ML/AI) techniques on image and video data toward diagnostics, informatics, and data science applications in biomedicine.
The Biomedical Informatics Training Program at the Lister Hill National Center for Biomedical Communications provides biomedical informatics and clinical informatics training and research opportunities for individuals at various stages in their careers. The program has for more than 20 years contributed to biomedical and clinical informatics research and trained future informatics research leaders.