Past CBIIT Events
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XNAT Scout: Enabling Translational AI
Attend this webinar to learn more about XNAT Scout—a new extension of the XNAT imaging informatics platform that’s designed to close the gap between artificial intelligence (AI) model development and clinical deployment.
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Theranostics Digital Twins: A Path to Personalized Medicine
On January 14, the Data Science Seminar Series is tackling an intersection of two critical data science concepts in cancer research: theranostics and digital twins. Dr. Emilie Roncali, an associate profession at UC Davis, will give you an overview of how these concepts work in practice in liver, prostate, and metastatic cancer.
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Childhood Cancer Data Initiative (CCDI) Symposium 2025
Join this NCI-hosted symposium to explore CCDI programs and resources that advance research and clinical care via collaboration, innovation, and transformative strategy.
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NCI Office of Data Sharing’s Annual Data Sharing Symposium 2025: How Data Advances the Impact of Cancer Research
Join researchers and experts across government, academia and industry for NCI’s third annual symposium. Explore ways to advance cancer research through broad data sharing, reuse, and collaborative science.
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Data Jamboree: Enhancing Childhood Cancer Data Sharing and Utility
Register for this NCI data jamboree to 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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Developing Safe AI Models for Clinical and Multi-institutional Research Studies
From approaches to use cases, hear Dr. Harini Veeraraghavan how her lab develop safe AI models at the September 3, 2025 Data Science Seminar Series.
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Assessing the Tumor Microenvironment with Systems Immunology: Computational Science in Immuno-oncology
Attend this webinar to learn about computational tools and analytical approaches that reveal the complexities of tumor microenvironment and tumor immunobiology. This webinar is part of the 2025 SITC-NCI Computational Immuno-oncology Webinar Series, which focuses on the methods and clinical utility for biomarker development in immuno-oncology.