Personal Health Informatics for Delivering Actionable Insights to Individuals (R01 Clinical Trial Optional)
This NIH/National Library of Medicine R01 funds development of informatics and data science approaches that give individuals actionable insights into their own health; a clinical trial is optional.…
- Deadline
- Jan 7, 2027
- Posted
- Nov 21, 2024
- Award amount
- Up to $250,000
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We’ll email you before Jan 7, 2027 so you have time to apply.
In plain English
This NIH/National Library of Medicine R01 funds development of informatics and data science approaches that give individuals actionable insights into their own health; a clinical trial is optional. Eligible applicants include universities, research institutions, and tribal and community organizations, and foreign organizations are listed among eligible applicants. The maximum award is about $250,000. It requires informatics research capacity.
AI-generated summary to help you decide quickly — verify the official eligibility rules before applying.
Who can apply
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 grant
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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