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.

Attend this Containers and Workflows Interest Group webinar for tips on how to use technologies like Amazon Web Services (AWS), Amazon Elastic Container Service, and AWS Fargate.

Don't miss out on the opportunity to attend an engaging conversation between NIH Director Dr. Monica Bertagnolli, and Dr. Vinton "Vint" Cerf—one of the “fathers of the internet.” They’ll talk about the role of artificial intelligence and machine learning in biomedical research and evidence-based health care delivery.

Hear topics aimed at advancing the understanding of childhood cancer and accelerating research efforts. You may also provide feedback on the use and content of the Childhood Cancer Data Initiative.

Learn about the importance of responsible data stewardship, which involves understanding how data are found, accessed, and reused.

Help NIH explore the value and adoption of Common Data Elements, which standardize data collection, sharing, and interoperability in disease research (including cancer research).