Past CBIIT Events
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Foundation Models for Cancer Workshop
On March 26, NCI CBIIT staff, Drs. Shannon Silkensen and Umit Topaloglu, will highlight how an NCI CBIIT-led federated learning network can give researchers the space to build robust foundational models.
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Multi-modal Modeling in Precision Medicine: From Data Imputation to Synthetic Data
On March 18, the Data Science Seminar Series will introduce the concept of cross-modal data modeling—a methodology that uses foundation models to ascribe missing biomedical research data and generate realistic synthetic samples.
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Data Driven QSP Modeling of Cancer: A Step Toward Personalized Treatment
Join this webinar on March 6, 2026, at 11 a.m. to learn how an NCI-funded data-driven QSP model could help predict cancer treatment response.
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Robotics, Agents, and World (RAW) Models to Target Cancer
Discover how artificial intelligence (AI), robotics, and predictive models could transform cancer drug development. During this Data Science Seminar, Dr. Arvind Ramanathan will present an approach that uses automated systems to generate and test hypotheses to design new cancer therapies.
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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.