Cancer Data Science Pulse

The Cancer Data Science Pulse blog provides insights on trends, policies, initiatives, and innovation in the data science and cancer research communities from professionals dedicated to building a national cancer data ecosystem that enables new discoveries and reduces the burden of cancer.

Looking for ways to visualize your data? We asked data scientists to show us their favorite visualizations. Here, Dr. Alida Palmisano of NCI's Computational and Systems Biology Branch shares her ideas for visualizing complex single-cell RNA sequencing data.

This year’s theme for World Cancer Research Day is “support research to prevent cancer and catch it early.” How can data science drive progress in international cancer research? Check out our NCI resources and learn what we have to support those global research efforts.

Watch our time capsule video to learn about the current status of the field and new technologies that are sure to be important as we embark on the next era of cancer data research.

As NCI recognizes Childhood Cancer Awareness Month this September, we highlight a list of data science resources and tools to aid your pediatric cancer research.

Discover how NIH is working to make generalist repositories (GRs) part of the data sharing ecosystem. The goal is to minimize data sharing barriers while still taking advantage of GR convenience and usability.

Having trouble staying up to date on cancer variants? CIViC (or Clinical Interpretation of Variants in Cancer) offers an open-source knowledgebase and web interface to help connect researchers to the latest published findings on a full range of variant interpretations.

We asked 8 of our data scientists across the National Cancer Institute to share their advice and career journeys to help you answer the question—what should I know to start my career in cancer data science?

Meet the people who are breaking new ground in the data science field, whether it’s a new tool, a new model, or a completely new way of using data. Here, we’re featuring Svitlana Volkova, Ph.D., chief scientist at Pacific Northwest National Laboratory. She’ll describe how she’s using “foundation models” to give scientists and analysts a new tool for unleashing the power of artificial intelligence (AI).

Whether you are in the data science field, interested in developing computational solutions for clinical oncology, or a clinical researcher, we’ve curated a list of data sets, tools, and learning resources to showcase how these disciplines can and are working together to empower cancer research.

Data and Artificial Intelligence (AI) are a match seemingly made in heaven. By joining data and AI, scientists are able to shift a lot of the burden associated with using data from human to machine. See why the data-AI relationship works so well for cancer research in this offbeat blog featuring two fictitious characters—Datum and his pal Aida.