News

Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

An open laptop with the words "Feedback Needed" on the screen

United States Core Data for Interoperability (USCDI+) Seeks Feedback on Adverse Event Data Elements

If you’re working with adverse event cancer and immune-related data, USCDI+ program staff need to hear from you! See how you can give your feedback on the new USCDI+Cancer draft data set.

Doctor shows a colleague clinical data on a tablet.

NCI’s Clinical and Translational Data Commons Has Launched!

Explore the NCI Cancer Research Data Commons’s latest portal to find clinical and translational data from NCI-funded studies!

Magnifying glass with the word “Bias” written on it hovers over a group of figures. Depicts the importance of searching for (and correcting) bias when developing a machine learning model.

Algorithm Helps Address Bias in Machine Learning

Are you developing machine learning and looking for ways to make your model generalizable to a diverse population? A recent study describes an algorithm that centers on transforming your data rather than tweaking your model.

A magnifying glass gives a close-up view of a strand of DNA. The DNA strand is set against a backdrop of buildings and houses, simulating a neighborhood. The illustration shows the value of understanding gene expression across the cell’s neighborhood.

Tool Unlocks Data’s Potential to Learn More About Cell Neighborhoods

See how a new NCI-funded tool is helping scientists learn more about spatial gene expression, enabling them to use these data to better understand how cells relate—with their neighbors and within the tumor environment.

Graphic depicts the evaluation of AI. A scale is shown at the center of the graphic. The scale weighs the accuracy of AI (“accuracy” positioned to the left of the scale and depicted as the letters “A-I” within cogwheels) and the results/what’s learned of AI (“results” positioned to the right of the scale and portrayed as a human brain). Arrows encircle the top and bottom of the scale, illustrating a cycle.

Evaluating Diversity in an Artificial Intelligence (AI) Model for Breast Cancer

Can you develop an algorithm that applies to every patient, in every situation? A recent study shows the importance of adding diversity to your data when developing AI models.

Text on blue background with small blue dots. Text reads, "Funding Opportunity."

Apply for Project Funding to Enhance NIH Common Fund Data Sets

The NIH Common Fund wants to enhance the value and use of its programs’ data sets. One of these programs—the Gabriella Miller Kids First Program—is designed to make discoveries in childhood cancers and birth defects. If you have a project that needs funding and could help enhance such data sets, apply by June 27, 2024.

three partial circles containing brain tumor, breast tumor, and prostate tumor in imaging

The Cancer Imaging Archive Updates Data Set Collections

Explore updated data on brain, breast, and prostate cancers.

A childhood cancer patient. She's wearing a blue polka dot dress and she's smiling broadly at her doctor.

Childhood Cancer Data Initiative—Recent Activities and Next Steps

Learn about the latest programs in NCI’s Childhood Cancer Data Initiative. A newly published summary offers an update on what’s underway and a forecast for future research.

AACR Annual Meeting

NCI Data Science at the 2024 AACR Annual Meeting

Are you planning to attend this year’s American Association for Cancer Research (AACR) Annual Meeting? Make sure to add these NCI-affiliated data science activities to your schedule!

3-D rendering of a DNA strand. A section of the two strands is highlighted to show how researchers are studying tiny variants in DNA to see how they impact gene expression and, potentially, cancer.

New Platform for Prioritizing Genetic Variants Underlying Cancer Risk

Are you having trouble prioritizing which genetic variants to study in your cancer research? There’s a new platform, called FORGEdb, that can help you pinpoint promising variants and target genes.

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