Key Dates

NOT-RM-21-002 - Notice of Intent to Publish a Funding Opportunity Announcement for the NIH Common Fund Nutrition for Precision Health, powered by the All of Us Research Program: Metabolomics and Clinical Assays Center (U24 Clinical Trial Not Allowed)

NOT-RM-21-003 - Notice of Intent to Publish a Funding Opportunity Announcement for the NIH Common Fund Nutrition for Precision Health, powered by the All of Us Research Program: Microbiome and Metagenomics Center (U24 Clinical Trial Not Allowed)

NOT-RM-21-006 - Notice of Intent to Publish a Funding Opportunity Announcement for the NIH Common Fund Nutrition for Precision Health, powered by the All of Us Research Program: Dietary Assessment Center (U24 Clinical Trial Optional)

NOT-RM-21-007 - Notice of Intent to Publish a Funding Opportunity Announcement for the NIH Common Fund Nutrition for Precision Health, powered by the All of Us Research Program: Clinical Centers (UG1 Clinical Trial Required)

NOT-RM-21-008 - Notice of Intent to Publish a Funding Opportunity Announcement for Nutrition for Precision Health, powered by the All of Us Research Program: Research Coordinating Center (U24 Clinical Trial Not Allowed)

Office of Strategic Coordination (Common Fund)

The Office of Strategic Coordination (Common Fund) intends to publish a funding opportunity announcement (FOA) to support one Artificial Intelligence for Multimodal Data Modeling and Bioinformatics Center (U54) for the NIH Common Fund supported Nutrition for Precision Health, powered by the All of Us Research Program. Collaborative teams combining expertise in biomedical data science, advanced computational and data analysis approaches with those of nutrition science, intermediary metabolism, and / or physiology – will be crucial to the success of the studies.

This Notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and develop their approaches. The funding opportunity is expected to be published in January 2021 with an expected application due date at least 60 days after publication. No foreign applications will be allowed.

The FOA will utilize the cooperative agreement U54 mechanism for “Specialized Center--Cooperative Agreements.” Details of the planned FOA are provided below.

Rationale. Research is needed to provide more precise and dynamic nutritional recommendations than currently possible through population-wide guidance. This in turn will facilitate a deeper understanding of how human biological systems and molecular pathways interact with or mediate the relationships among dietary patterns, environmental, social, and behavioral factors to influence health status. Through advances in -omic technologies and mobile devices—combined with the large and diverse participant sample and existing infrastructure of the All of Us Research Program, innovations in artificial intelligence, machine learning, computational and mathematical modeling of complex biological systems—an unprecedented opportunity exists currently to predict dietary responses and to design targeted dietary interventions aimed at improving health and quality of life.

Nutrition for Precision Health. The goal of the Nutrition for Precision Health, powered by the All of Us Research Program, consortium (referred to as “Nutrition for Precision Health” in this document) is to develop algorithms that predict individual responses to foods and dietary patterns. Nutrition for Precision Health will take advantage of multiple recent advances in biomedical science to generate data and develop predictive nutrition algorithms to help individuals and their health care providers create healthy diet plans. These advances include progress in nutrition science and our understanding of the human microbiome, increased use of artificial intelligence (AI) in the biomedical sciences, as well as the infrastructure and large, diverse cohort of the All of Us Research Program.

The new funding opportunity will support development of robust and artificially intelligent informatics platforms of multimodal, metadata-complete, human data sets data from the Nutrition for Precision Health consortium. The Center projects will develop a suite of computational tools to perform data integration, harmonization, analysis and visualization of the multi-modal and multi-fidelity data as well as incorporate an adaptive design for future data incorporation. The Center will generate gold-standard, actively learning algorithms to predict human response to different foods, nutrients, food components, and dietary patterns as well as advance understanding, from the individual and population level, of longitudinal dynamics from multimodal data with advanced computer modeling tools (e.g., with in silico human dietary response replicates or user-tailored, high-fidelity models that incorporate environmental, behavioral, multi-omic, social, clinical or other data to predict health trajectories). The proposed Center will be a hub in defining state of the art for ‘AI-ready' biomedical data to the Nutrition for Precision Health consortium.

Funding for Nutrition for Precision Health will come from the NIH Common Fund, which supports cross-cutting programs expected to have exceptionally high impact. All Common Fund initiatives invite investigators to develop bold, innovative, and high-risk approaches to address problems that may seem intractable or to seize new opportunities that offer the potential for rapid progress. Nutrition for Precision Health will be embedded in the All of Us Research Program (allofus.nih.gov). The All of Us Research Program is part of an effort to advance individualized health care by enrolling one million or more participants to share their health data over at least 10 years. Nutrition for Precision Health will be guided by the core values (https://allofus.nih.gov/about/core-values) of the All of Us Research Program.

Applications are not being solicited at this time. 

Please direct all inquiries to:

Christopher M. Hartshorn, Ph.D.
National Cancer Institute (NCI)
240-781-3315
christopher.hartshorn@nih.gov