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.

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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? Read opinions from three NCI CBIIT experts to find out!

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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. 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.

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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.

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Using the Cloud for Cancer Research—Overcoming Common Barriers

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.

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Whose Data Is It, Anyway?

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.

Artists conceptualization of a digital twin. Shows the mirrored image of two heads. The only difference is one head is filled in with dots whereas the second head has spaces missing.

Digital Twins for Cancer—Not If, But When, How, and Why?

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.

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Your Favorite CBIIT Data Science Reads From 2024

Celebrate the advancements in cancer data science as we highlight our top five most-read blogs of 2024!

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Making a Bioinformatics Tool for the Cancer Research Community

Discover how to make your bioinformatics tools more broadly usable with no-code solutions!

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Semantics Series—The Role of Common Data Elements and Artificial Intelligence

Common Data Elements (CDEs) enrich and standardize data through consistent and accurate metadata, helping to make data ready for use in training artificial intelligence (AI) models. In this blog, Ms. Denise Warzel discusses the role of CDEs and AI in CBIIT’s Semantic Infrastructure.

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Synthetic Data Helps Counter Lack of Diversity in Data

In this blog, NCI’s Center for Cancer Health Equity, Dr. Laritza Rodriguez, looks at one technique to help counter a lack of diversity in your data set. See how Synthetic Minority Oversampling Techniques (SMOTE) can help bring your biomedical research data into better balance.

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