Past CBIIT Events
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American Medical Informatics Association (AMIA) 2026 Annual Symposium
If you’re attending the November 7–11 AMIA Symposium, consider sitting in on panels from NCI CBIIT’s Drs. Umit Topaloglu and Shannon Silkensen. They’ll talk about federated learning and real-world data—two topics that CBIIT’s informatics program is supporting to advance cancer research.
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XNAT 2: An Open-Source Imaging Informatics Tool
Attend this webinar to learn more about XNAT 2, a software solution that’s combining super intelligence capabilities with an established imaging informatics platform.
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Advancing Multimodal Clinical SI Through Federated Fine-Tuning of Foundation Models
Discover how NCI and NCI-designated cancer centers are working together to advance multimodal clinical oncology via federated learning-based approaches.
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When Clinical Notes Cannot Move: Designing NLP for Multi-institutional Research
Join NCI CBIIT’s Dr. Umit Topaloglu at an AMIA-hosted webinar where he’ll discuss the architecture options for addressing challenges often associated with clinical natural language processing across multi-institutional research.
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Pathology AI Foundation Models Across Modalities and Spatial Scales
Join the September 30 Data Science Seminar Series to find out how AI foundation models are expanding the possibilities of computational pathology and other modalities.
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AmpliconSuite and AmpliconRepository: Enabling ecDNA Biology at Scale
Attend this webinar to learn more about an NCI-funded genomics analysis toolkit and its companion platform for exploring focal amplifications.
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Federated Learning Across NCI Cancer Centers with FLAIMME
Attending NVIDIA FLARE Day 2026? NCI CBIIT’s Dr. Umit Topaloglu will discuss how the Federated Learning-based AI in Multimodal Exploration (FLAIMME) consortium is helping NCI-designated cancer centers share AI models while protecting data privacy.
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Is Federated Learning the Answer to Patient Privacy in AI?
On September 9, CBIIT’s Dr. Umit Topaloglu will cover the basics of federated learning, walk through its benefits and constraints, and give his take on whether federated learning is really the answer to patient privacy in an oncology setting.
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Statistical Methods and Software for Spatial Proteomics in Cancer Research
Join this webinar as NCI grantee, Dr. Brooke Fridley, walks through the statistical methods and software her lab has developed to aid cancer researchers in analyzing spatial proteomics.
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USCDI+ Cancer Clinical Trial Matching
If you’re attending the 2026 CMS HL7® FHIR® Connectathon next week, check out this presentation from NCI CBIIT’s Dr. Shannon Silkensen. She and her team will showcase their implementation guide for FHIR-based data harmonization in clinical trial matching.