Join the Childhood Cancer Data Initiative (CCDI) community for a webinar on the NCI-funded PIVOT program.

Learn how quantitative imaging techniques are evolving to enhance imaging quality in co-clinical trials for patients with cancer.

Attend this Data Science Seminar to learn how a new deep learning approach predicts spatial gene expression and is changing our understanding of tumor heterogeneity by providing high-resolution, location-specific mapping of gene expression within tumors and their microenvironment.

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.