News

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

Want to pursue a career opportunity in data science with NCI? Browse through federal and contractor roles, fellowships, and internships in our recently launched employment section!

NIH has a new funding opportunity to help you develop robust, re-usable scientific software and tools to advance cancer research.

NCI-funded researchers are blending mathematics with machine learning to refine cancer treatment. In the future, this kind of virtual tumor model could help to further personalize care for people with cancer.

NCI researchers are using artificial intelligence (AI) to uncover additional information from medical images. This helps them not only to diagnose cancer but also to predict how it will progress and if it will re-occur.

These APIs aim to enhance data accessibility and integration for childhood cancer research, leading to advancements in treatments for pediatric cancer patients.

Are you a cancer biology investigator? NCI wants to hear about your experiences developing and implementing data management and sharing plans. Share your feedback by July 26, 2024.

A new, scalable, machine learning model is helping scientists model thousands of transcription factors and genes in the human genome, providing new information on these genes and how they work/change over time.

Learn how supercomputing and cancer research expertise helped transform a previously complex, ‘undruggable’ target into a promising, first-in-class medication. Researchers are now testing it in human trials.

With the help of machine learning, NCI-funded researchers were able to boost the prognostic power of a common blood test for liver cancer.

Interpreting whole slide images can be a labor intensive and difficult task. A recent article describes a new approach that helps classify cancer and predict how it will progress.