NIH to invest $100M to advance Artificial Intelligence
May / June 2021 | Volume 20 Number 3
Image courtesy of the NIH Common Fund
The evolving field of Artificial Intelligence (AI) has the potential to revolutionize scientific discovery and extend diagnostic capabilities to remote, underserved settings. A new NIH Common Fund program, called
Bridge to Artificial Intelligence (Bridge2AI), will invest about $100 million over four years to tap into the power of AI to advance research to inform clinical decisions and individualize care.
AI, which encompasses many methods including modern machine learning (ML), offers potential solutions to many challenges in biomedical and behavioral research. AI uses computer algorithms to quickly find connections from within large data sets and predict future outcomes. It’s already used to improve diagnostic accuracy, increase efficiency in workflow and clinical operations, and facilitate disease and therapeutic monitoring.
Bridge2AI will support the generation of new data sets amenable to AI/ML analysis at scale; development of data standards; production of tools to accelerate the creation of FAIR (Findable, Accessible, Interoperable, Reusable) AI/ML-ready data; design of skills and workforce development materials and activities; and promotion of a culture of diversity and ethical inquiry throughout the data generation process.
Foreign organizations are eligible to apply to the program’s data generation component. Foreign components only may be included in applications for the coordination center. The deadline for both is August 20, 2021.
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