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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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Updated NCI Model Gains Greater Precision in Diagnosing Prostate Cancer

See how NCI researchers are working to find new ways of interpreting biopsies and managing prostate cancer. This recent model could lead to a more precise approach, reducing the need for additional and often unnecessary biopsies.

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NCI Study Examines Artificial Intelligence (AI) Versus Radiologists in Assessing Tumors

Wondering how to use AI for radiology? In a new study, NCI researchers found that AI may work best as an adjunct to the radiologist rather than a standalone solution, allowing radiologists to focus on cases that need more critical assessment.

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CRDC in Publications: How Are People Using the Available Resources?

The NCI Cancer Research Data Commons (CRDC) is a great resource for accessing cancer research data. So, how have your colleagues been using it recently? Read this article to find out!

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Podcast Covers NCI’s Support for Women via AI Startups

Listen to how NCI’s Small Business Innovation Research program is funding technology to enhance breast cancer detection and prevention.

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NCI-Funded Tool Helps to Advance Neoantigen Therapies

Whether you’re researching a neoantigen, or looking to identify new therapeutic candidates, there’s a new NCI-funded tool, called “pVACview,” that may be able to help.

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Machine Learning Identifies Clonal Hematopoiesis Driver Mutations

Learn how researchers used machine learning models to identify the specific genetic mutations that trigger clonal hematopoiesis. In this condition, mutated hematopoietic stem cells multiply more rapidly, increasing the risk of blood cancers.

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NCI-Funded Algorithm Helps Track Down Coding and Non-Coding Cancer-Causing Genes

Are you investigating structural variations underlying cancer-causing genes? NCI-funded researchers are testing a new algorithm that could help you track down both coding and non-coding cancer-causing genes.

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Machine Learning Reveals Shared Traits of Osteosarcomas in Pet Dogs and Humans

Looking for new data sources for your machine learning model? NCI researchers combined data from dogs and people to identify risk factors for osteosarcoma.

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United States Core Data for Interoperability (USCDI+) Seeks Feedback on Adverse Event Data Elements

If you’re working with adverse event cancer and immune-related data, USCDI+ program staff need to hear from you! See how you can give your feedback on the new USCDI+Cancer draft data set.

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NCI Researchers Reflect on the Cancer Informatics Field

Want to learn more about bioinformatics? Tap into these two newly published articles to see what some prominent researchers are saying about the field and where it’s headed.

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