Register for this webinar to learn how cancer researchers can use both radiomic and pathomic approaches to predict disease outcome, recurrence, progression, and response to therapy in the context of cancers.
Dr. Hashibe will speak on how to use novel data linkages, including electronic health records, to identify recurrences in cancer survivors. She’ll share her current work toward establishing population-level tracking of cancer recurrence and customized algorithms based on relevant data.
If you’re interested in cancer imaging advances, attend the upcoming NCI Imaging Community Webinar to learn about artificial intelligence and histopathology.
Are you using single-cell and spatial omics data in your cancer research? Have you found a new way to use, integrate, or apply these data? If so, register by October 24 to participate in this virtual event.
Learn about tumor-immune interactions and spatial molecular technologies by registering for the sixth course of the 2023 SITC-NCI Computational Immuno-oncology Webinar Series.
This event will demonstrate how to use the Childhood Cancer Data Initiative (CCDI) Hub Explore Dashboard, a new tool for exploring individual-level data files.
Discover how this topic is one of many examples demonstrating the cutting edge of computational immuno-oncology. Register today for the fifth course of the 2023 NCI-SITC Computational Immuno-oncology Webinar Series.
Want to learn how to use Childhood Cancer Data Initiative tools that can help you advance your cancer research? Attend this webinar for a demonstration of two robust data resources.
Discover how researchers develop and use molecular and computational tools to better understand protein phosphorylation and how it impacts cancer research.
During this webinar, University of Chicago’s Dr. Bill Wysocki will demonstrate methods for downloading data from the GDC, as well as how to troubleshoot data download issues.
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!