News

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

The NIH Common Fund’s Bridge to Artificial Intelligence program launched this month, aiming to bridge the gap between biomedical and behavioral research and artificial intelligence.

NCI’s Small Business Innovation Research Development Center released four new contract funding topics. The topics aim to advance work in the fields of wearable technologies, digital tools, and artificial intelligence.

Are you interested in comparative oncology? NCI needs input on the future needs and directions of the Integrated Canine Data Commons. Submit a response by Thursday, December 1, 2022.

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

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

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

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.