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!
William Lotter, Ph.D., Julian Hong, M.D., M.S., and Leah Zullig, Ph.D., M.P.H.
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.
Help NIH explore the value and adoption of Common Data Elements, which standardize data collection, sharing, and interoperability in disease research (including cancer research).
Brian Furner, M.S., Michael Watkins, Ph.D., and Sam Volchenboum, M.D., Ph.D.
Hear experts from the Data for Common Good program discuss their work in developing pediatric data standards and how these standards will contribute to the future Childhood Cancer Clinical Data Commons.
Find training resources, opportunities to collaborate, advice from NCI data science experts, and ways to network and engage with the cancer data science community on our NCI Cancer Data Science page!