News

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

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.

Read this recently released collection of 13 studies to learn more about NCI’s Human Tumor Atlas Network (HTAN). You’ll gain insights into tumor development, progression, and treatment responses through advanced research methodologies and 3D tumor atlases.

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.

Deciphering bulk data is challenging. See how a recent DREAM challenge is helping researchers benchmark bioinformatics and data science approaches for unraveling bulk genetic cancer data.

Are you interested in the bioethics of cancer data science or data sharing? This opportunity may fund your research or project to help expand NCI’s research and capacity for bioethics issues.

Are you investigating structural variations underlying cancer-causing genes? NCI-funded researchers are testing a new algorithm that could help you track down both coding and non-coding cancer-causing genes.