News

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

Do you have an idea for a project to help boost cloud computing at NIH? Check out this funding opportunity and see how you can help NIH more fully realize the potential of cloud computing.

NIH wants to help you advance biomedical research by supporting your data resource. Learn more about these funding opportunities and apply for financial support by September 25, 2024!

Are you developing groundbreaking technology (which could include using data science tools/methods) for the disruption of pediatric and/or rare cancer care? If so, explore this award opportunity and apply for funding!

With this funding opportunity, you can build a training program to educate predoctoral candidates in computational and data science analytics. Submit your application by May 24, 2024.

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!

Do you conduct research on statistical and analytical methods, cancer survivorship, digital health, and/or data science tools and methods? Apply for an R01 grant from NCI’s Division of Cancer Control and Population Sciences by June 5 or October 5, 2024.

Do you work with digital twin data models? If so, consider applying by March 21, 2024, for research funding!

Explore this NCI-supported funding opportunity if you’re interested in conducting a study on using mobile health technology to improve cancer outcomes in low- and middle-income countries.