News

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

Magnetic resonance image of glioblastoma, shown as a large mass on the upper right-hand side of the brain.

Researchers Use AI-based Modeling to Assess Treatment and Predict Survival from Glioblastoma

Want to use your data science skills to find better cancer treatments? See how these NCI-funded researchers working with artificial intelligence (AI) used information from a survival model to refine treatment for glioblastoma.

Image of a wearable device on a wrist with technology icons coming out.

NCI Podcast Examines How Wearable Devices Correlate Exercise Levels with Cancer Risk

An NCI study reveals a connection between physical activity levels and cancer risk based upon data collected by researchers from wrist-worn sensors. Such devices are one of many examples of how big data science technologies can significantly drive the progress of cancer research.

3D rendering of human cells under a microscope.

Cell2Cell Helps Researchers Visualize Relationships Between Tumor and Immune Cells

Learn about this NCI-supported, comprehensive visual and interactive system for analyzing cell-to-cell interactions in 3D image data.

Image of cell-type annotation of individual nuclei and cells, shows various cells and cell components and their boundaries.

NCI-Funded Artificial Intelligence (AI) Tool Powers Up Spatial Transcriptomics

A new spatial transcriptomics tool, called Spotiphy, can help you visualize gene distribution patterns across entire tissue sections, giving you a more complete picture of the tumor and its microenvironment.

The letters "A.I." hover overtop a keyboard. A finger checks the first of three boxes that appear to the right. Image signifies the importance of adhering to guidelines when developing artificial intelligence.

NCI Helps Establish Guidelines for Artificial Intelligence (AI) Models for Prostate Cancer

Having trouble discerning what makes a successful AI model? NCI is leading the way in developing concrete guidelines for building, evaluating, and reporting on AI-assisted prostate imaging models.

AI themed image with connected data points and a silhouette of a head with "AI" in the brain area

Important Reminders About the Use of AI and Protecting Human Genomic Data

If you use or develop generative artificial intelligence (AI) in your cancer research, these important reminders about data security are for you!

Spyglass hovers over a strand of double helix strand of DNA.

NCI-Funded Pipeline Applied to Microscopic Images Helps Manage Micronuclei

See how a new AI-driven tool can help you measure micronuclei and similar structures to study their underlying biology, enabling you to more efficiently measure and characterize these tiny structures.

Head with the letters “A.I” shows how AI can help “see” research in a new way. The head is focusing on icons that represent pathology, research, imaging, and ideas—all of which come together to create a new perspective for cancer research.

The Making of a New Artificial Intelligence (AI)-Approach to Head and Neck Cancer

See how NCI-funded researchers built on previous studies to create a new model (called SMuRF) for head and neck cancer. Their model offers a new, more human-like, perspective to assessing head and neck cancer.

Two hands shaking, with the letters “AI” in the forefront. Signifies a new public-private partnership using artificial intelligence.

NCI Clinical Trials Get a Boost from Public-Private Partnership

Read about a new collaboration between NCI and a company that develops AI-powered solutions for cancer diagnostics and therapeutics. NCI will be applying these tools to help advance research into personalized treatment for patients with cancer.

Person sits at a laptop and presses a file. The file opens four documents with a background that shows charts, flow charts, and additional buttons. Signifies the idea of an online resource.

NCI-Supported Study Uses Machine Learning (ML) to Help You Tap into the TCGA

Thanks to this NCI-funded study, you now have a host of top-performing predictive models, data types, and training algorithms to help you better classify your patient samples.

SUBSCRIBE TO UPDATES

Categories

Archive