Attend this Data Science Seminar to learn how a new deep learning approach predicts spatial gene expression and is changing our understanding of tumor heterogeneity by providing high-resolution, location-specific mapping of gene expression within tumors and their microenvironment.

Attend this Data Science Seminar to learn how artificial intelligence (AI) will revolutionize healthcare by enhancing diagnostic precision, optimizing treatment plans, and improving patient outcomes.

Register for this Data Science Seminar to hear how artificial intelligence (AI) is impacting cancer research and clinical diagnosis by transforming the field of pathology, particularly by enhancing the assessment of tissue samples and microscopic images.

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.