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

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Sharing Cancer Research Software? NIH Wants to Hear from You!

Are you working with source codes, algorithms, workflows, and other software in your cancer research? NIH wants to hear from you! Respond today to help NIH develop new best-practice guidelines.

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Looking to Improve the Processes Around Real-World Data? Share Opinions with NIH!

NIH wants to hear from you! Give your perspective on how to better use Real-World Data in biomedical and behavioral research.

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NCI’s Imaging Data Commons Helps Address Challenges in Computational Pathology

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.

A hand is shown clicking a computer mouse. Above the mouse are a number of different icons designed to show the actions that mouse-click might generate. Those icons include a DNA strand to show analysis, a bar chart to show results of that analysis, a lock to show data security, and an email to show how the use might send the results.

Meet MOPAW—A New Tool for Using Multi-omics Data in NCI’s Cancer Genomics Cloud

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.

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The Childhood Cancer Data Initiative (CCDI) Releases ‘Explore Dashboard’ to Make Data More Findable

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.

Circular illustration shows the concept of a Genome Wide Association Study. The circle’s outlined by small blue, orange, green, and black stick figures representing a population. Within that circle is an orange and green string of DNA. At the center of the circle are the basic amino acids (ATGCA) and five black stick figures, illustrating the individual.

New Approach Helps Address Lack of Diversity in GWAS Cancer Data

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).

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Deadline Extended: Tell Us if NCI Cancer Research Data Commons’ Data are Compatible with AI

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!

iCURE Enhancing Diversity in the NCI Intramural Research Community

Gain Data Science Research Experience through NCI’s iCURE Mentorship Program

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

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Input on New Sample Informed Consent Language for Digital Health Needed

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

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Fall 2023 Updates to Semantic Products of NCI Enterprise Vocabulary Services

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

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