Cancer Data Science Pulse

Are you interested in using artificial intelligence (AI) in your research or clinical practice but feeling unsure about where to start? Researchers from NCI’s Center for Cancer Research, Drs. Baris Turkbey and Stephanie Harmon, offer five tips that can get you started.

We’re celebrating “Love Data Week” by featuring scientists who love data—especially diverse data. In this blog, scientists tell why they love diverse data and offer tips for increasing diversity in your research data.

Read the blogs that topped our charts in 2023, and see if your favorite made #1!

Meet Drs. Ajay Aggarwal and Anant Madabhushi, two grantees funded by NCI’s Center for Global Health’s Affordable Cancer Technologies (ACTs) Program. These ACTs-supported grantees are using artificial intelligence (AI) to develop tools that can be used in a variety of conditions and health systems around the world.

Read the blogs that topped our charts in 2022 and see if your favorite made #1!

In honor of National Lung Cancer Awareness Month, we’re highlighting the “data deets” (details) for the National Lung Screening Trial, a large-scale effort that collected imaging data for more than 53,000 heavy smokers. In this blog, we’ll cover the research that drove this data, specific metrics about the data set, how to access it, and some of the exciting data science projects using the data.

Ever wonder what it’s like to work on a data ecosystem? Meet software engineer Ming Ying, and website specialists Hannah Stogsdill and Ambar Rana, as they describe what it’s like to design, develop, implement, and maintain NCI’s Integrated Canine Data Commons.

As NCI recognizes Breast Cancer Awareness Month this October, we highlight several data science resources to assist in your breast cancer research.

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.

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).