CBIIT Cancer Data Science Pulse Blog
A data science blog featuring news and updates from CBIIT.
-
Applying Artificial Intelligence (AI) to Whole-Body Images to Reveal Rare Cancers
Learn how AI-assisted whole-body imaging may someday help not only in detecting cancer, but also in planning, tracking, and managing more precise treatments.
-
Many Hands Make Light Work: Your Role on a Cancer Data Science Research Team
A multidisciplinary team consists of many different responsibilities. Where do you fit in?
-
Building Infrastructure that Works—Lessons Learned from Project MATCH
NCI’s Project MATCH initiative helped pioneer the concept that people in clinical trials could be matched (based on their genetic makeup) to medications specifically tailored to their needs and situations.
-
NCI’s IMMUNOtron—The Making of a Machine Learning (ML) Robotics Tool
ML models feed on large amounts of quality data, which can be scarce. Meet IMMUNOtron, a ML-robotic platform that’s helping NCI researchers generate and process high-quality data to better understand the immune system’s response to cancer.
-
Using the Cloud for Cancer Research—Overcoming Common Barriers
Learn tips for overcoming obstacles using the cloud, along with an example of how you can make the cloud work for you.
-
Whose Data Is It, Anyway?
The Office of Data Sharing discusses data ownership and data sharing resources for supporting research.
-
Digital Twins for Cancer—Not If, But When, How, and Why?
Creating a digital twin for cancer is a daunting task, but NCI’s Dr. Eric Stahlberg says we already have many elements in place to serve as a digital twin foundation. All that’s needed now is a shift in thinking and a team science approach to bring a true cancer digital twin to life.