News

Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

The latest update to the Childhood Cancer Data Catalog includes new and updated data, improved accessibility, as well as enhanced site search tools.

Learn how NCI CT (Computed Tomography) imaging data sets enable the use of artificial intelligence in planning treatment for non-small cell lung cancer.

Discover how researchers are using NIH/NCI genomics and proteomics data to gain insight into chemotherapy resistance in triple negative breast cancer.

An NCI training grant and resources such as the NCI Cancer Research Data Commons’ Genomic Data Commons, in part, made it possible for this study to use multimodal deep learning. This model allowed researchers to examine pathology whole slide images and molecular profile data from 14 cancer types to enable more accurate patient outcome predictions.

An extensive data collection on Juvenile Myelomonocytic Leukemia is now available. The data were made available thanks to funding from the Cancer Childhood Data Initiative, offering researchers greater insight into the genetic, epigenetic, and biochemical basis of this Ras-driven leukemia.

We want to learn more about the resource and information you need to work in cancer data science.

An artificial intelligence (AI)-driven, computer-aided diagnosis (CAD) software first developed by code writers’ physicians at NIH has received FDA clearance for the detection and diagnosis of prostate cancer. The tool, called ProstatID, combines AI with traditional MRI scanning.

NCI’s Imaging Data Commons has released several notable updates, including the release of three collections by the Human Tumor Atlas Network, which comprise a new multichannel fluorescence imaging data set.

NIH has announced a Request for Information (RFI) to solicit ideas for potential NIH Common Fund programs. Common Fund program categories include Transformational Science and Discovery, Catalytic Data Resources, and Re-engineering the Research Enterprise.

NIH Data and Technology Advancement Scholar Dr. Jay Ronquillo was among the inaugural class earning the AMIA Health Informatics certification. Learn about the benefits of possessing this certification within the fields of health informatics and data science.