Hear from NCI CBIIT’s Dr. Jill Barnholtz-Sloan describe how NCI data science resources can help you with your cancer research!

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.

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.

Learn more about this software that uses natural language processing to help you work with unstructured data from electronic health record systems.

In this NIH Data Sharing and Reuse Seminar, learn how the Childhood Cancer Data Initiative’s National Childhood Cancer Registry is reshaping childhood cancer research through collaborations, diverse data integration, and accessibility for researchers.

Get an inside look at the strategic approach, advancements, and the impact of the Childhood Cancer Data Initiative’s MCI.

Join experts as they discuss the complexities of benchmarking artificial intelligence (AI) performance and ensuring fairness in model outcomes. This event is part of the Cancer AI Conversations bimonthly webinar series.

Electronic Health Record data are typically incomplete and fraught with errors and biases. Learn how researchers are using LLMs to address data issues, particularly related to insufficient information.