News

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

See the digital health technologies informed consent resource that your Request for Information responses helped create!

In the “Mitelman Gene Fusions in TCGA” notebook, ISB Cancer Gateway in the Cloud (an NCI Cloud Resource) identified the most common gene fusions in prostate adenocarcinoma, demonstrating machine learning in Google BigQuery.

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.

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

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.