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.

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. Here, the CBIIT team shares the lessons they learned in modernizing and automating the platform for tracking and managing these patients, along with their samples, and other research data.

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.

Are you interested in using the cloud for your cancer research but worried about barriers like costs, security, and efficiency? Dr. Zhaoyi Chen gives some tips for overcoming these obstacles, along with an example of how you can make the cloud work for you.

For this year’s “Love Data Week,” we talked to NCI’s Office of Data Sharing about data ownership. Learn more about this topic and how you can access data sharing resources for supporting your work.

Wondering if you’ll ever see a “digital twin” for cancer? Although creating a twin is a daunting task, 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.