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.
Learn more about spatialGE—a web application and R package that can provide you with a platform for spatial transcriptomics data analysis and visualization for your cancer research. NCI’s Informatics Technology for Cancer Research program funds this application.
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.
Register for this Data Science Seminar to hear how artificial intelligence (AI) is impacting cancer research and clinical diagnosis by transforming the field of pathology, particularly by enhancing the assessment of tissue samples and microscopic images.
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.
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!
