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.

Learn how artificial intelligence is revolutionizing how we collect, study, and understand biomedical imaging data.

Are you having trouble finding gene sets to help in your research? Sign up for the January Data Science Seminar and learn about two new tools that can help make your task a little easier.

Learn more about Lancet, a somatic variant caller. This accurate, open-source tool leverages local assembly and joint analysis of tumor-normal, paired, high-throughput sequence data.