Attending the AMIA Clinical Informatics Conference? Join this particular session about the National Childhood Cancer Registry! You’re learn how the registry’s real-world data harmonization process for population research in childhood cancer can serve as a model for similar harmonization efforts.

Learn about a set of statistical machine learning methods developed to infer the temporal and spatial dynamics of cells in the tumor microenvironment.

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.