Building BRIDGEs

The Bridge2AI Initiative, a signature NIH effort, recognizes the rapid growth of data science and AI methods in biomedical and behavioral research and healthcare. It presents a transformative opportunity to ensure these advancements benefit everyone, providing a collective path forward for discovery, collaboration, and learning.

Our BRIDGE Coordination Center is designed to provide cohesive organization across various Cores, addressing the emergent sociotechnical issues surrounding AI use and working closely with the Bridge2AI Data Generation Projects (DGPs) to ensure successful outcomes. Representing multiple institutions (UCLA, Oregon Health & Sciences University, Sage Bionetworks), the Center's efforts specifically encompass two Cores:

• The Tool Optimization Core, which assesses developed algorithms supporting the generation of AI-ready datasets from DGPs, provides strategies for optimizing usage, and identifies opportunities for benchmarking.
• The Biomedical AI Learning Resource Core, which focuses on training opportunities for the next generation of AI-ready scientists, coalescing and evaluating curricula, and establishing diverse learning venues.

Both Cores bring interdisciplinary expertise in biomedical informatics/data science, AI methods, applications, evaluation, and various domains/data types. They facilitate cross-cutting activities related to FAIR principles (findable, accessible, interoperable, reusable) across emergent datasets and domains, and enable comparison and benchmarking of developed AI-ready datasets and tools. The Center is also committed to refining and disseminating best practices, evaluating methods, and integrating all activities within a unified framework to foster synergy and collective progress in biomedical and behavioral AI.

Contact PI: Alex Bui

Funding Source:  NIH NHGRI