Register for this July Data Science Seminar to discover how to leverage various data types in medicine. You'll also learn about computational methods for improving decision-support models for personalized diagnosis, prognosis, and therapy.

Join this June Data Science Seminar to better understand the power of the software platform Docker. You’ll hear how data scientists and medical researchers are using it to enhance the reproducibility of their work and collaborate better.

Learn about new bioinformatics tools to explore the tumor microenvironment at this NCI Emerging Technologies seminar.

Attend this June Data Science Seminar to learn about tools for improving artificial intelligence (AI) model transparency, the provision of data set metadata, and recent initiatives to implement these tools in the NIH Bridge2AI program.

Learn how the Cancer Moonshot is advancing data sharing in cancer research.

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.

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.

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

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.