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

This Notice of Funding Opportunity will allow you to create and run a short course to educate early career researchers on using data sets available in NIH’s Common Fund.

Help NCI’s Childhood Cancer Data Initiative better serve the cancer research and healthcare enterprise; provide your insight on the current capabilities of automated data entry and extraction from Electronic Health Records.

NCI-funded researchers are using a machine learning approach to predict cancer outcomes based on epigenetic data, which take into account both environmental and genetic influences.

A new deep learning model, called CXR-Lung-Risk, proved useful in identifying people at risk for dying from lung cancer or other lung disease, based on a single X-ray image.

Are you looking for funding for your cancer informatics technology project? We highlight the most recent ITCR Funding Opportunity Announcements that may be right for you!

Are you interested in developing a machine learning model to predict disease? Get advice from researchers who built a successful model for predicting breast cancer outcomes.

Discover new data collections available for you to use in your cancer research!

If you’re a data scientist interested in artificial intelligence and machine learning codeathons, apply for this opportunity to build a solution for cancer!

HHS recently recognized select personnel and teams who are leveraging data to advance the department’s mission. Read how CBIIT’s very own Director of the Office of Data Sharing, Dr. Jaime Guidry Auvil, received recognition for Distinguished Achievement in Federal Data and Policy!

The Childhood Cancer Data Initiative (CCDI) awarded administrative supplements to eight NCI-Designated Cancer Centers, enabling research that leverages the CCDI Data Ecosystem to address scientific questions and create analytical tools for advancing childhood cancer research.