Cancer Data Science Pulse

Patients play a pivotal role in cancer research by generously giving the “gift” of data. In this blog, Dr. Jaime Guidry Auvil of NCI’s Office of Data Sharing looks closely at that gift and what it means for everyone involved in cancer research—scientists, people with cancer, their families, and generations to come.

Mr. Steve Friedman of NCI’s Division of Cancer Control and Population Sciences’ Surveillance Research Program shares how his survivorship of testicular cancer impacted his decision to pursue the cancer data science field.

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.

If you can see it, you can treat it. In this blog, Dr. Baris Turkbey, senior clinician in NCI’s Molecular Imaging Branch, Center for Cancer Research, explores the field of theranostics. He describes how artificial intelligence and data are helping researchers “see” cancer in a new way, resulting in a more precise way of targeting cancer treatment.

How can data science support your cancer research? Explore this helpful quick start guide to find out! We’ll show you an overview of how data science enhances cancer research and how you can get started applying it to your work.

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.

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.

On April 6, Dr. Malachi Griffith will present the next Data Science Seminar, “Bioinformatics Approaches for Neoantigen Identification and Prioritization.” Here, Dr. Griffith tells how his tinkering with computers, bioinformatics, and genomics is helping him understand the complexities of this promising research area. If successful, neoantigen-based cancer therapies could prove to be the pinnacle of personalized medicine.

CBIIT’s NIH Data and Technology Advancement (DATA) Scholar, Dr. Jay G. Ronquillo, offers a bird’s-eye view of cloud computing, including tips for managing costs, access, and training to help advance precision medicine and cancer research.

To commemorate the National Cancer Act’s 50th anniversary, we’ve pulled together Five Data Science Technologies poised to make a difference in how cancer is diagnosed, treated, and prevented.