Cancer Data Science Pulse


We spoke to Dr. Tongwu Zhang of NCI’s Division of Cancer Epidemiology and Genetics to hear his advice on advancing in the cancer data science field.

Are you new to the cancer research lab and have realized how important it is to have basic data science knowledge? See how many of these cancer data science questions you answer correctly. After, you can use our training resources to improve your score!

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

Find out what a previous fellow has to say about her experience with data science in an NCI fellowship, and how she applied what she learned to her cancer research career.

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.

Common Data Elements (CDEs) are a key component of NCI’s semantics infrastructure. CDEs allow us to assign meaning to data in a way that’s predictable, consistent, and persistent across time. In this blog, CBIIT’s Ms. Denise Warzel and Dr. Gilberto Fragoso take a deep dive into CDEs and show how they help researchers define, map, and use data more efficiently.

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.

CBIIT’s series on data visualizations continues with a look at visualizing genetic data in a three-dimensional (3D) format. Here, Dr. Michael Sierk, a contractor with Essential Software, Inc., and Dr. Daoud Meerzaman from CBIIT’s Computational Genomics and Bioinformatics Branch show how they create visualizations in 3D using a new tool called 3DVizSNP.

Hear from CBIIT’s Chief of the Clinical and Translational Research Informatics Branch as he gives advice on how to conduct a research project using data science and the value data science brings to supporting the cancer research community.

NCI’s recently released National Cancer Plan details eight strategic goals. Our NCI CBIIT leadership team offers insight into the new Plan, with particular emphasis on how data science and related technologies will support this work and serve as a catalyst for future cancer research at NCI.