Cancer Data Science Pulse

Artificial Intelligence
3d illustration of T cells attacking cancer cells. Shows a blue-colored cancer cell with two smaller red cells attached.

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.

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.

Text reads, "CBIIT's Top Blogs of 2024" on blue background

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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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.

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.

A person wearing a stethoscope holds a tablet with one hand and presses the screen with the other. The letters A-I are illuminated above the screen, depicting how doctors and researchers are using AI to address today’s biomedical issues.

The Good, the Bad, and the Unexplained: Five Tips for Evaluating an AI Product

Are you interested in using artificial intelligence (AI) in your research or clinical practice but feeling unsure about where to start? Researchers from NCI’s Center for Cancer Research, Drs. Baris Turkbey and Stephanie Harmon, offer five tips that can get you started.

Hands of many different colors come together to embrace a heart filled with data points against a background of codes. Illustrates the value of diverse data.

Why We Love Diverse Data

We’re celebrating “Love Data Week” by featuring scientists who love data—especially diverse data. In this blog, scientists tell why they love diverse data and offer tips for increasing diversity in your research data.

Button with the words "Edge Computing" in the center and surrounded by icons that are important for this technology. These icons include a person (to signify the user), a lightbulb (to show an idea), a spyglass (to show research or questions), a hand with dollar signs (to show economics), a graph (to show how research is used to yield solutions), and a series of lines and cogs (to show how the system works).

Living on the Edge—How Video Games Helped Shape the Future of Cancer Care

Did you know that the same technology that makes your video games more realistic is helping to power important advances in cancer research? This latest blog by Dr. Eric Stahlberg looks at edge computing and how it’s helping to transform cancer research and care.

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!

Snapshot of a form showing personal identifying information. Words include "Names," "Patient ID," and "Dates seen"

NCI Workshop Addresses Current Challenges in De-Identifying Medical Images

NCI recently hosted a two-day workshop with more than 600 developers, researchers, and data scientists from the United States, Canada, and the European Union. Participants addressed some of the challenges of removing personal information from medical images—a process called de-identification. This blog features highlights from the workshop.

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