News

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

What influences the performance of an AI model more: where the researcher collected the data, or how? NCI-funded researchers set out to investigate some of the factors that could influence the performance of an AI-based image model screening for cervical cancer.


Interested in fellowship programs that use data science to advance cancer research and care? Listen to the latest episode of “Inside Cancer Careers” and discover the Big Data Scientist Training Enhancement Program (BD-STEP)!

Interpreting tissue biopsies may be easier using this NCI-funded tool. It features an end-to-end approach for automatically analyzing cancer cells and tissues.

Learn how NIH and NCI researchers developed TrialGPT, an artificial intelligence algorithm that could help clinicians connect patients to clinical trial opportunities more efficiently.

NCI-funded researchers developed a new model called “SEQUOIA” that’s helping capture detailed data from whole slide images. See how this technology could someday be the solution to better biopsies.

Explore a new artificial intelligence model for detecting gliomas in tissue samples during brain surgeries.

Listen to how NCI’s Small Business Innovation Research program is funding technology to enhance breast cancer detection and prevention.

Whether you’re researching a neoantigen, or looking to identify new therapeutic candidates, there’s a new NCI-funded tool, called “pVACview,” that may be able to help.

Learn how researchers used machine learning models to identify the specific genetic mutations that trigger clonal hematopoiesis. In this condition, mutated hematopoietic stem cells multiply more rapidly, increasing the risk of blood cancers.

NCI-funded researchers are testing a new platform that blends statistical and deep learning models, giving you a fuller picture of the variants driving cancer progression.