Discover how a multidisciplinary team of experts has successfully bridged the gap between Big Tech, operations, and research by leveraging cutting-edge artificial intelligence (AI) technologies to enhance cancer research and operational efficiency.

Attend this webinar to learn how artificial intelligence (AI) is transforming science, giving cancer researchers, like you, new ways to simulate complex phenomena by modeling single-cell data.

Join this September Data Science Seminar to explore the newly launched Clinical and Translational Data Commons (CTDC). As part of NCI’s Cancer Research Data Commons, the CTDC will enhance access to clinical and translational data from NCI-funded studies.

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.

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

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.

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