Personal Health Informatics for Delivering Actionable Insights to Individuals (R01 Clinical Trial Optional)
National Institutes of Health (NIH) · NIH Institute/Center · PAR-25-235
Source: Grants.gov · View original posting ↗
- AwardWhat a single award can be worth — the funder's published per-award amount or floor–ceiling range.
- Up to $250K
- DeadlineFinal application due date.
- Jan 7, 2027
- Letter of intentDue date for the letter of intent (a short pre-application some funders require or request before the full proposal).
- —
- MechanismNIH activity code — the grant type (R01 research project, R21 exploratory, K series career development, F series fellowship, …).
- R01
- DurationMaximum project period for a single award.
- —
- Expected awardsHow many awards the funder anticipates making under this opportunity.
- —
- Funding cycleHow often the program accepts applications (annual, multiple cycles per year, rolling, or one-time).
- Standard NIH dates
- Open dateWhen applications open (or opened).
- Nov 21, 2024
- Total fundingThe overall pool the funder expects to commit across ALL awards under this opportunity — not what one project receives.
- —
- Clinical trialWhether proposed projects must, may, or must not include a clinical trial.
- Optional / allowed
Funding context
Based on FY2024 NIH (all institutes) R01 applications (5,385 of 33,139 applications awarded).
Institute-specific data wasn’t available — showing the NIH-wide rate for this mechanism.
Payline: NIH discontinued percentile paylines for 2026 under its Unified Funding Strategy ↗ — scores are now weighed in context rather than against a fixed cutoff.
NIH-wide R01, all institutes.
Aggregate historical data by institute, mechanism, and fiscal year — context for planning, not a prediction for this opportunity. Source ↗
Research areas
Auto-classified from the title and description (keyword-based) — may be imperfect.
Description
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.
Data notes: administering NIH institute could not be identified from the opportunity number.