News

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

NCI’s Childhood Cancer Data Initiative (CCDI) invites proposals from laboratories with the capability to perform multi-omics research-grade molecular characterization for submission to the CCDI Data Ecosystem. Apply by June 14, 2024, at 3:00 p.m. ET.

Are you curious about NCI’s current research? Use NCI’s newly updated Index of Studies to learn about the projects underway, including focus areas and cancer types.

Are you developing digital twin technology and looking for possible funding? The National Science Foundation, NIH, and the U.S. Food and Drug Administration will fund 6–10 new digital twin projects.

NCI’s Imaging Data Commons has new data available, and, thanks to AI and cloud computing, it’s easier than ever before to work with this imaging data.

Explore this NCI-supported solicitation for revision applications focusing on data reuse and secondary data analysis!

NIH and the National Science Foundation are participating in an interagency funding opportunity that seeks to address technological and data science challenges, which require fundamental research and development of new tools, workflows, and methods. Proposals are due October 3, at 5:00 p.m. (submitter’s local time).

Explore this challenge if you’re a software tool developer interested in assessing how well your tool de-identifies medical images.

A new machine learning model blends image data with clinical and pathological information to tailor care for patients with breast cancer.

The NIH Common Fund wants to enhance the value and use of its programs’ data sets. One of these programs—the Gabriella Miller Kids First Program—is designed to make discoveries in childhood cancers and birth defects. If you have a project that needs funding and could help enhance such data sets, apply by June 27, 2024.

Do you have an idea for a project to help boost cloud computing at NIH? Check out this funding opportunity and see how you can help NIH more fully realize the potential of cloud computing.