Cancer Data Science Pulse

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Three circles depict three separate but connected events. The first features a researcher looking at medical scans, the second is a team gathered around a laptop, and the third shows a doctor with a patient.

A Quick Start Guide to Cancer Data Science for Clinical Oncology

Whether you are in the data science field, interested in developing computational solutions for clinical oncology, or a clinical researcher, we’ve curated a list of data sets, tools, and learning resources to showcase how these disciplines can and are working together to empower cancer research.

several pictures representing various ambiguous terms in cancer and data science including a person playing a video game, hot peppers, DNA sequencing, a graph, and a child watching a cartoon.

Hone Your Communication Skills: “Weird” Cancer and Data Science Terms to Know!

Explore some of the interesting terms used in cancer research and data science, and get tips on how you can make sure you’re communicating effectively!

Digital avatar of Tongwu Zhang, Ph.D. with a phone in the background displaying text messages

Career Confessions: NCI Earl Stadtman Investigator Shares Data Science Mentorship Advice

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.

a blue question mark in a rectangular comment bubble. Decorative numbers in background.

Cancer Researchers: Do You ‘Speak Data Science’? Test Your Knowledge!

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!

Laptop displaying the NCI Cancer Data Science Pulse webpage with the text, "CBIIT's top Blogs of 2023"

The 12 Blogs of CBIIT—Your Favorite Data Science Reads from 2023

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

Headshot of Dr. Jennifer Moss

Former Fellow Shares NCI Experience with Geocoding and Patient Privacy

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.

Professional headshot of Steve Friedman

Data Sharing Advocacy—How a Cancer Survivor Seeks to Enhance Data Sharing to Better the Patient Experience

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.

Take a deep dive into CDEs. Illustration shows a swimmer diving into a pool with large letters, CDE, which represents Common Data Elements.

Semantics Series—A Deep Dive Into Common Data Elements

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.

Image shows a cancer lesion. A deep learning-based AI algorithm helps further define this lesion as prostate cancer. The lesion is displayed as a large red mass, outlined in blue and green.

Theranostics and AI—The Next Advance in Cancer Precision Medicine

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.

3D protein image. Shows interconnected blue strands, with one red strand in the middle. The red indicates a mutation, which resulted in a destabilized version of the protein.

Visualizing Genetic Mutations in Three-Dimensions—Pro-Tips From a Structural Biology Perspective

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.

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