News

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

Think AI is still out of reach for most clinicians? A new NCI study examines the feasibility of bringing AI to the clinic, using a publicly available platform and an AI-assisted model for detecting prostate cancer on MRI scans.

Explore how these principles serve as guideposts for developing, deploying, and improving AI systems.

What’s the best role for AI in screening for breast cancer? This study, partially funded by NCI, helps define that role by looking at how well AI performed in finding hard-to-detect cancers.

NCI wants your input on how to develop strong and useful benchmarks for artificial intelligence (AI) in cancer research. These benchmarks will help guide the development of AI tools that can improve how we prevent, detect, treat, and manage cancer.

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.

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.

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.

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

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.

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.