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

NCI’s Imaging Data Commons has new data available, and, thanks to AI and cloud computing, it’s easier than ever before to work with this imaging data.

NIH and the National Science Foundation are participating in an interagency funding opportunity that seeks to address technological and data science challenges, which require fundamental research and development of new tools, workflows, and methods. Proposals are due October 3, at 5:00 p.m. (submitter’s local time).

Are you ready to introduce AI into your practice? NCI-funded researchers recently conducted a survey to help shed light on how oncologists feel about using AI in cancer care.

Apply for this research opportunity to use multimodal artificial intelligence (AI) and tackle biomedical challenges in cancer research or other health conditions.

NIH Institutes and Centers (including NCI) are interested in the validity, reliability, and utility of digital health tools and artificial intelligence/machine learning (AI/ML) technologies. You can apply for NCI funding to support the validation of these technologies for cancer research.

Are you planning to attend this year’s American Association for Cancer Research (AACR) Annual Meeting? Make sure to add these NCI-affiliated data science activities to your schedule!

Are you skilled in artificial intelligence and federated learning approaches? Come work here at NCI’s CBIIT as a bioinformatics specialist! Don’t miss out on this opportunity. Apply today!

Looking to become more familiar with artificial intelligence and GitHub for your data science needs? Check out these two courses from the Informatics Technology for Cancer Research Training Network.

What do you think of the updated Strategic Plan for Data Science from NIH? Respond to this Request for Information by March 15!

Participate in the upcoming challenge to assess NCI Cancer Research Data Commons' compatibility with AI/ML technologies.