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

Each workshop in this three-part series brings together researchers to share insights, discuss emerging technologies, and identify solutions to key challenges in cancer biology.

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.

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.

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!