Cancer Data Science Pulse

Artificial Intelligence
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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.

[9:15 AM] Richardson, Alexandra (NIH/NCI) [C] Globe is surrounded by a network of lines and dots showing how the earth is interconnected.

NCI Funding Helps AI Researchers Gain Global Insight on Cancer

Meet Drs. Ajay Aggarwal and Anant Madabhushi, two grantees funded by NCI’s Center for Global Health’s Affordable Cancer Technologies (ACTs) Program. These ACTs-supported grantees are using artificial intelligence (AI) to develop tools that can be used in a variety of conditions and health systems around the world.

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.

Headshot of Vivian Ota Wang, Ph.D.

Trusting the Data—A Look at Data Bias

Dr. Vivian Ota Wang shares her perspectives on data bias and outlines ideas for making data more equitable, fair, and useful to the greatest number of people, all of which would benefit cancer research.

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