The NCI Center for Biomedical Informatics and Information Technology (CBIIT) provides for the appropriate use of data science, informatics, and IT, exemplifying a commitment to customer service, teamwork, pride, professionalism and resulting in optimal support of the NCI's mission to accelerate the prevention and treatment of cancer.
National Cancer Informatics Program
NCI established the National Cancer Informatics Program (NCIP) within CBIIT as the Institute's primary biomedical-informatics initiative. The NCIP will build on and extend investments that NCI has made during the past two decades to develop the informatics assets and computational approaches needed to support scientific discovery and clinical application in the postgenomics era.
More information is available about applications and downloads.
CBIIT Speaker Series
The CBIIT Speaker Series is a bi-weekly knowledge-sharing forum featuring internal and external speakers discussing topics of interest to the biomedical informatics and cancer research communities. Visit the CBIIT Speaker Series Wiki for more details.
Visit the NCI CBIIT Speaker Series YouTube Playlist to view previous presentations.
- RFI Just Released: Draft of the NIH Strategic Plan for Data Science
- AACR Journal, Cancer Research, Highlights NCI Funded Computer Resources
- Advancing a National Cancer Knowledge System
NCI Biomedical Informatics Blog
Check out the latest NCI Informatics blog post! Hugo Aerts, Ph.D., Director, Computational Imaging and Bioinformatics Laboratory and Associate Professor, Harvard University, authored the January 17 post: "Artificial Intelligence in Cancer Diagnostics and Prognostics: Radiologists in the Driver’s Seat."
CBIIT leadership, staff, and guests from across NCI and the extramural community use this blog to discuss topics relevant to the future direction of NCIP and other NCI-supported research-and-development efforts centered on biomedical informatics and its role in furthering cancer research and care. Such topics include open-source and open-development initiatives, next-generation sequencing, the promulgation of standards to support interoperability, and challenges surrounding the study and analysis of large, complex data collections, most notably data management and integration.