Past CBIIT Events
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AI-Driven Spatial Proteomics to Better Understand Prostate Cancer Tumors
On June 3, the Data Science Seminar Series will introduce the challenges and successes of a team’s attempt to structure prostate cancer data sets suitable for AI-driven spatial proteomics and foundational models.
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An Introduction to the Integrative Genomics Viewer (IGV)
Join this upcoming webinar to learn how to use an NCI-funded visualization tool that lets you explore genomic data sets.
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Navigating the Data Landscape: The Cancer Research Data Commons Data Ecosystem
If you’re attending the 2026 Bio-IT World Conference and Expo in Boston, check out this presentation from NCI CBIIT’s Dr. Durga Addepalli. She’ll talk about the Cancer Research Data Commons and its influence on data sharing for the cancer research community.
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An Intro to Gene Set Enrichment Analysis and the Molecular Signatures Database
Attend this webinar to learn more about an NCI-funded computer model and genomics resource that can help you explore gene expression changes in cancer.
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Federated Foundational Models: 2026 AACR Annual Meeting
CBIIT staff describe how NCI’s Federated Learning-based AI in Modal Exportation (FLAIMME) consortium can help cancer centers share AI models while still retaining local data control and institutional governance.
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Modernizing Clinical Trial Communication: 2026 AACR Annual Meeting
NCI CBIIT staff demonstrate three AI tools for consent form generation, plain-language trial summaries, and Spanish language translation. These tools should cut down document development time and expand clinical trial access for diverse populations.
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Cancer Research Data Commons and Pediatric Research: 2026 AACR Annual Meeting
NCI staff showcase how the Cancer Research Data Commons ecosystem is stronger thanks to partnerships with ARPA-H’s Biomedical Data Fabric and NCI’s Childhood Cancer Data Initiative, highlighting technologies that harmonize semantics, integrate ontology, and enable artificial intelligence.
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Validating AI in Digital Pathology for Clinical Use Beyond the Algorithm
On April 15, the Data Science Seminar Series will introduce the challenges and successes of developing standardized artificial intelligence models in digital pathology for cancer diagnostics.
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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.