News

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

A DNA strand is seen radiating from a toolbox full of tools. Illustration shows how scientists have many tools for use in DNA analysis.

MuSiCal—A New NCI-Funded Tool for Analyzing Genetic Mutations

Want to identify existing gene mutations more accurately and discover new signatures more efficiently? There’s a new NCI-funded tool, the Mutational Signature Calculator, that can help improve your standard workflow.

Logo for the American Association for Cancer Research's special series on the Cancer Data Research Commons

10 Years of NCI’s Cancer Research Data Commons Highlighted in AACR Journal

Read the four-part series on NCI’s Cancer Research Data Commons’ history, resources, standards, and future initiatives. The articles are now available online in “Cancer Research,” one of the flagship journals of the American Association for Cancer Research (AACR).

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Childhood Cancer Data Initiative—Recent Activities and Next Steps

Learn about the latest programs in NCI’s Childhood Cancer Data Initiative. A newly published summary offers an update on what’s underway and a forecast for future research.

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New Report Spotlights Research Gaps and Future Directions for Digital Twins

Interested in digital twin technology? Read this report for a “reality check” on what is currently known about the technology and what’s still missing.

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NCI’s Enterprise Vocabulary Services Poised to Support Real-World Data

Learn how you can employ NCI’s semantic infrastructure to expand the use of CDISC standards for Real-World Data analysis and the generation of Real-World Evidence.

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Insights Into the Childhood Cancer Data Initiative’s Progress

Read the editorial review of a paper outlining the progress and future goals of the Childhood Cancer Data Initiative!

imaging of breast cancer tumor

New AI Model Exceeds Standard Breast Cancer Prediction

In an NCI-funded study, mammography artificial intelligence (AI) algorithms generated a five-year breast cancer prediction that was better than a clinical risk model.

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Publications Highlight the Power of Deep Learning for Cancer Drug Response Prediction

Explore these two articles, both published by members of the NCI and Department of Energy Collaboration!

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NCI and DOE Support Study for Creating More Efficient Simulations of Cancer Protein Interactions

Researchers create a theoretical model to enable simulations based on Dynamic Density Functional Theory. This new model can help them understand the behavior of cancer-causing proteins better.

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NCI-Funded Challenge Advances Artificial Intelligence for Cancer Detection

Discover how the algorithms produced in this challenge performed in detecting breast cancer.

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