Notice Number: NOT-EB-18-021
Release Date: June 11, 2018
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
The National Institute of Biomedical Imaging and Bioengineering (NIBIB) announces an opportunity for NIBIB-supported investigators to request administrative supplements to implement machine learning and deep learning tools, methods, and technologies within active NIBIB awards. The goal of these supplements is to significantly improve the performance of biomedical imaging and bioengineering technologies proposed in the parent grant and thereby accelerate the development of intelligent diagnostic and therapeutic systems.
Areas of NIBIB-funded research that may benefit from application of machine-deep learning approaches may include, but are not limited to:
Administrative supplement requests should be submitted to PA-18-591, Administrative Supplements to Existing NIH Grants and Cooperative Agreements https://grants.nih.gov/grants/guide/pa-files/PA-18-591.html.
Applicants should begin their Research Strategy by stating: "This application is being submitted in response to NOT-EB-18-021".
Supplements up to $100,000 direct costs for up to 12 months will be considered for research grants, career awards, non-center cooperative agreements, and training grants. Supplements up to $200,000 direct costs for up to 12 months will be considered for research center grants or research center cooperative agreements. The project and budget periods of the supplement request must be within the currently approved project period for the existing parent award.
These administrative supplements are available to meet increased costs that are within the scientific scope of the parent grant but were unforeseen when the grant application was submitted. Applicants are strongly encouraged to discuss the aims of the proposed work with the NIBIB program officer assigned to the parent grant to assess suitability for this funding opportunity.
Requests must be received by July 24, 2018.
Please direct all inquiries to:
Behrouz Shabestari, Ph.D.
National Institute of Biomedical Imaging and Bio-Engineering (NIBIB)