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.

Are you interested in how data quality affects the performance of large language models? Join this Data Science Seminar to find out!

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

Are you a cancer researcher looking to gain more experience using artificial intelligence (AI)? Register for this workshop, which includes beginner and advanced tracks for supporting multiple skill levels!

During this webinar, University of Massachusetts Chan Medical School’s Drs. Epstein and Liu will discuss algorithms they are developing to better identify patients experiencing non-Hodgkin lymphoma recurrence.

Discover how to use NCI cloud resources in your research!

Hear panelists discuss the challenges of transitioning from creating and validating machine learning tools into patient care. This event is part of the Cancer AI Conversations bimonthly webinar series.