Center for Biomedical Informatics and Information Technology
The Center for Biomedical Informatics and Information Technology's (CBIIT) mission is to empower NCI staff and the cancer research community with the data science, information technology, and data sharing tools they need to advance our knowledge of cancer. CBIIT's vision is to accelerate ground-breaking research using data and technologies to minimize the burden of cancer.
Focus Areas
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NCI Data CatalogCollection of data listings by major NCI initiatives and other data sets.
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ProjectsExplore several of our collaborations throughout the cancer community.
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Data Science TrainingLearn more about the inter-disciplinary field of data science.
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Vocabulary for Cancer ResearchLearn essential cancer vocabulary to support clear communication.
Recommended Events
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Enhancing Childhood Cancer Data Sharing and Utility
On September 29-30, work as part of a small team using childhood cancer data sets to answer a challenge question and promote collaboration, access, and awareness.
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How Data Advances the Impact of Cancer Research
On September 30th-October 1, Join researchers and experts across government, academia and industry for NCI’s third annual symposium.
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CCDI Symposium 2025
Join us October 6-7 for a symposium to explore CCDI programs and resources and resources that advance research and clinical care via collaboration, innovation, and transformative strategy.
News
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New Data from CCDI's Pediatric in Vivo TestingCCDI just released molecular characterization data that may help your research.
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Navigating the 2024 NIH Public Access PolicyNIH is updating its Public Access Policy to ensure free, immediate access to taxpayer-funded research.
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AI Model for Prostate Cancer Show Feasibility in Clinical SettingA new study tests using AI on a public platform to detect prostate cancer in MRI scans.
Cancer Data Science Pulse Blog
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Many Hands Make Light Work: Your Role on a Cancer Data Science Research TeamA multidisciplinary team consists of many different responsibilities. Where do you fit in?
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Lessons Learned from Project MATCHCBIIT team shares the lessons they learned in modernizing and automating the platform for tracking and managing these patients, along with their samples, and other research data.
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The Making of a Machine Learning (ML) Robotics Tool: IMMUNOtronMeet IMMUNOtron, a ML-robotic platform that’s helping NCI researchers generate and process high-quality data to better understand the immune system’s response to cancer.