Program Snapshot

The NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program will propel biomedical research forward by setting the stage for widespread adoption of artificial intelligence (AI) that tackles complex biomedical challenges beyond human intuition. A key step in this process is generating new “flagship” data sets and best practices for machine learning (ML) analysis. The biomedical research community generates a wealth of data, but most of these data are not suitable for artificial intelligence because they are not collected and processed with AI modeling in mind. By bringing technological and biomedical experts together with social scientists and humanists, the Bridge2AI program will help bring solutions to this deficit by:

• Generating new flagship biomedical and behavioral data sets that are properly documented and ready for use with AI or ML technologies
• Developing software and standards to unify data attributes across multiple data sources and across data types
• Creating automated tools to accelerate the creation of FAIR (Findable, Accessible, Interoperable, and Reusable) data sets
• Providing resources to disseminate data, standards, tools, and best practices
• Creating training materials and activities for workforce development that bridges the AI, biomedical, and behavioral research communities

Hear from Co-Coordinator Dr. Grace Peng About the Bridge2AI Program Awards!

Watch now to learn how the Bridge2AI projects will accelerate the use of AI by the biomedical and behavioral research communities.