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Personal Health Informatics for Delivering Actionable Insights to Individuals (R01 Clinical Trial Optional)

National Institutes of Health · Opportunity PAR-25-235

Who can apply

• State governments
• County governments
• City or township governments
• Special district governments
• Independent school districts
• Public and State institutions of higher education
• Native American tribal governments (Federally recognized)
• Public housing authorities
• Native American tribal organizations (other)
• Nonprofits with 501(c)(3), other than higher education
• Nonprofits without 501(c)(3)
• Private institutions of higher education
• For-profit organizations other than small businesses
• Small businesses
• Others

Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession.

About this opportunity

The purpose of this Notice of Funding Opportunity (NOFO) is to advance the development of novel informatics and data science approaches that can help individuals understand and improve their health through actionable insights. NLM seeks applications that further the science of personal health informatics by providing meaningful and actionable insights to individuals through innovative personal health data collection, integration, analysis, and personalized risk assessments and interpretation. Applications seeking to advance the understanding of how informatics tools, systems, and platforms can best present the results, interpretation, and limitations of personalized assessments for the benefit of individuals are encouraged. Applications should include end user engaged approaches and real-world evaluation to inform the design of generalizable, reusable, and scalable personal health informatics tools, systems, and platforms for the benefit of individuals in understanding and improving their health.

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