Learn more about RadxTools, an image informatics toolkit that uses artificial intelligence (AI) to help clinicians with precision medicine approaches. NCI’s Informatics Technology for Cancer Research Program funds this toolkit.
Learn about advanced computational methods for analyzing cancer-related genetic data. This event is part of NCI’s Emerging Technologies Seminar Series, highlighting NCI-supported novel technologies that could transform cancer research and clinical care.
Register for this webinar to learn more about UCSC Xena, a tool that gives you an integrated, secure, and user-friendly way to access genomics data. Through this presentation, you will learn how to use visualizations to view your own data in a secure environment.
Alex Dekhtyar, Ph.D.; Vadim Kagan, M.S.; Sarah Keadle, Ph.D., M.S., M.P.H.; Jorge J. Nieva, M.D.; and Luciano Nocera, Ph.D.
Join NCI’s Division of Cancer Control and Population Sciences for a discussion about software tools that study particular types of images and output data that are suited for influencing cancer prevention and control.
Zachary Dorman; Jaime Guidry Auvil, Ph.D.; and Freddie L. Pruitt III, Ph.D.
Join the NCI Office of Data Sharing for a discussion on best practices for NCI data sets, a demo of the Index of NCI Studies, and an update on new NIH security guidelines going into effect January 25, 2025.
Li Ding, Ph.D.; Shannon Hughes, Ph.D.; and Ken Lau, Ph.D.
Leaders from NCI’s HTAN will discuss the collaborative efforts to create comprehensive cancer atlases that encompass cellular, molecular, and histological aspects across different cancer types and stages.
Discover how advances in fairness artificial intelligence (AI) can revolutionize patient data analysis and limit disparities in immunotherapy. This webinar the final part of the 2024 SITC-NCI Computational Immuno-oncology Webinar Series, which focuses on the application of AI in immuno-oncology.
Find training resources, opportunities to collaborate, advice from NCI data science experts, and ways to network and engage with the cancer data science community on our NCI Cancer Data Science page!
