Learn about the HLA-Arena tool—a computational platform, funded by NCI ITCR, for analyzing the role of HLA in cancer.

Learn how to use novel tools to track the looping between DNA elements such as enhancers and promoters, how DNA looping affect transcription, and how dysregulation of these processes can cause oncogene overexpression in cancer. This event is part of NCI’s Emerging Technologies Seminar Series, highlighting NCI-supported novel technologies that could transform cancer research and clinical care.

Attend this webinar to hear CBIIT’s Acting Director discuss how data is advancing cancer discovery and explore the resources that make this progress possible. The Loyola University of Chicago Cardinal Bernardin Cancer Center is hosting this event.

Hear about NCI-supported work with the artificial intelligence (AI) platform, “Molecular Twin,” and how researchers are using it to predict disease survival. This webinar is part of the NCI Rising Scholars Cancer Research Seminar Series.

Attend this Data Science Seminar to learn how artificial intelligence (AI) will revolutionize healthcare by enhancing diagnostic precision, optimizing treatment plans, and improving patient outcomes.

Hear from NCI CBIIT’s acting director on how you can find and leverage cancer data to accelerate the development of cancer research.

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.

Hear 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.