Hear from challenge winners who created models to assess the compatibility of NCI Cancer Research Data Commons (CRDC) data with artificial intelligence (AI) and/or machine learning technologies.

Interested in using data from electronic health records (EHR) in your research? Attend this Childhood Cancer Data Initiative webinar and see how technology may someday help address the challenges in identifying, extracting, and using EHR data.

Register for this meeting to explore optimization of imaging methods in precision oncology.

Register to learn how you can use AI to better analyze large-scale data sets for biomarkers that can enhance immunotherapy research.

In this interactive workshop, you’ll discuss the complexities of the field and learn how to use the COMETS Analytics tool to analyze single-cohort and meta-analysis data.

Register by Tuesday, May 7, to learn more about this Cancer Moonshot-supported translational science network. The two-day meeting will feature keynote speakers, presentations from early career scientists, and an overview of the network’s data management and resource sharing center.

Join fellow researchers, data scientists, and patient advocates in the quest to enhance today’s collection and exchange of standardized cancer data.

Have you been looking for ways to use artificial intelligence (AI) in clinical practice but not sure where to start? Attend this webinar for tips from Dr. Anant Madabhushi on using AI to help you predict how well patients will respond to therapy and to monitor their care.

Discover how scientists are investigating artificial intelligence (AI) for the real-time monitoring of patients who are receiving immunotherapy for immune-related adverse events (irAE). You’ll learn about both the current and future applications of AI in irAE monitoring and detection.

Register to learn about “CytoCommunity,” a computational tool that allows you to use both supervised and unsupervised learning for tissue cellular neighborhood identification.