CBIIT News
Keep up with the latest news from CBIIT and the data science communities.
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The Childhood Cancer Data Initiative (CCDI) released data from four studies that leverage patient-derived xenograft samples for preclinical screenings of potential pediatric cancer drugs.
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See how these NCI-funded researchers working with artificial intelligence (AI) used information from a survival model to refine treatment for glioblastoma.
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NIH is updating its Public Access Policy to ensure free, immediate access to taxpayer-funded research. Starting July 1, 2025, researchers must submit Author Accepted Manuscripts to PubMed Central without embargo, regardless of authorship or funding.
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A new NCI study examines the feasibility of bringing AI to the clinic, using a publicly available platform and an AI-assisted model for detecting prostate cancer on MRI scans.
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Artificial Intelligence (AI) Code of Conduct Offers Guide for Cancer Researchers and Data ScientistsExplore how these principles serve as guideposts for developing, deploying, and improving AI systems.
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CAFCW25 is an NCI-supported opportunity to collaborate with experts who drive cancer research and innovation.
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What’s the best role for AI in screening for breast cancer? This study, partially funded by NCI, helps define that role by looking at how well AI performed in finding hard-to-detect cancers.
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NCI wants your input on how to develop strong and useful benchmarks for artificial intelligence (AI) in cancer research. These benchmarks will help guide the development of AI tools that can improve how we prevent, detect, treat, and manage cancer.
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Learn more about this NCI-funded tool that enables researchers like you to explore protein-centric, cancer omics data.
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An NCI study reveals a connection between physical activity levels and cancer risk based upon data collected by researchers from wrist-worn sensors.
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Learn about this NCI-supported, comprehensive visual and interactive system for analyzing cell-to-cell interactions in 3D image data.
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A new spatial transcriptomics tool, called Spotiphy, can help you visualize gene distribution patterns across entire tissue sections, giving you a more complete picture of the tumor and its microenvironment.
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NCI is leading the way in developing concrete guidelines for building, evaluating, and reporting on AI-assisted prostate imaging models.
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If you use or develop generative artificial intelligence in your cancer research, these important reminders about data security are helpful.
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See how a new AI-driven tool can help you measure micronuclei and similar structures to study their underlying biology, enabling you to more efficiently measure and characterize these tiny structures.
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See how NCI-funded researchers built on previous studies to create a new model (called SMuRF) for head and neck cancer.
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Read about a new collaboration between NCI and a company that develops AI-powered solutions for cancer diagnostics and therapeutics.
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Thanks to this NCI-funded study, you now have a host of top-performing predictive models, data types, and training algorithms to help you better classify your patient samples.
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Learn how CGS-Net can assist in diagnosing cancer by incorporating contextual information for more accurate segmentation in medical images.
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See when and how you can access NCI’s data science sessions at the 2025 American Association for Cancer Research Annual Meeting.