RESEARCH/R&D

Research/R&D Areas

Health Information Standards and Discovery

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”.

Natural Language Processing

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.

Image Processing

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.