News

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

Having trouble reproducing results from machine learning (ML) computational pathology studies? See how NCI’s Imaging Data Commons may be able to help, as evidenced by a new study.

Want to use multi-omics data to examine different genetic pathways underlying cancer, but you lack the necessary coding experience? Meet MOPAW, a new point-and-click interface that can help you make the most of your genetic data.

Do you use CCDI-managed data? Check out the CCDI Hub Explore Dashboard, a tool that allows you to discover CCDI-managed data and connect with participants and available samples and files.

Come work at NCI's Center for Cancer Research (CCR)! Apply to work with CCR Deputy Director Dr. Xin Wei Wang and study genetics, genomics, and biochemical pathways related to liver cancer.

NCI wants your input to help determine how compatible NCI’s Cancer Research Data Commons is with artificial intelligence applications. Explore this request for information to learn how to contribute!

In a recent study, NCI’s Dr. Haoyu Zhang describes CT-SLEB—a powerful and computationally scalable method for generating more precise polygenic risk scores across a range of ancestral groups (including Latino, African American, East Asian, and South Asian).

Learn more about this mentorship program for students and scientists from diverse backgrounds. Past awardees have gained research experience in cancer data science!

Contribute to this NCI-supported Request for Information by commenting on the usefulness and usability of informed consent language involving digital health technologies.

We’re seeking a qualified biomedical informatics specialist to join our CBIIT Team. Apply today for this unique opportunity to use data-driven approaches for advancing cancer research.

Get the latest updates to NCI’s Enterprise Vocabulary Services, including childhood cancer staging terminology and Genomic Data Commons property and value terminology.