HF endotypes in heart failure using ethical multi-modal AI and molecular data
Official title: HF-ETIOLOGY: Heart Failure Endotypes from Ethical, Multi-Modal AI-driven and Molecular/Phenotypic Data Integration Enabled Discovery
Funded at University of Washington · NIH-11621806 · Data updated 2026-11-12
A patient-friendly project that uses advanced AI and multiple kinds of health data to identify distinct heart failure subtypes that could guide personalized care.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Washington NIH-funded |
| Lab location | 1 site (Seattle, United States) |
| Project start | July 17, 2026 |
| Project end | August 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $1,698,637 |
| NIH project number | 3OT2OD038083-02S1 |
| Project ID | NIH-11621806 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients with heart failure who have diverse backgrounds and data available (clinical, molecular, and socio-behavioral information) could potentially benefit.
✕Less likely to help
Patients without access to comprehensive health data or who are not involved in ongoing clinics may not directly benefit.
What this research studies
This project builds an ethical, patient-centered AI framework that combines clinical information, genetic and molecular data, and social factors to categorize heart failure into meaningful subtypes. It will create new AI models that can learn from diverse data over time and find patterns linked to outcomes and treatment responses. The work emphasizes sharing data and methods (FAIR-CARE) to ensure researchers can build on it responsibly. The team also explores potential drug repurposing ideas tied to the identified endotypes to improve future therapies.
Why it matters
Potential benefit: If successful, this could lead to more precise diagnoses and tailored treatments for heart failure patients.
How similar studies have gone: Previous work shows AI models can uncover meaningful disease subtypes, but this project aims to advance endotype discovery with multi-modal data and ethics-focused co-design.
Where this research is happening
-
University of Washington
Seattle, United States Active
Researchers
- Principal investigator: Luo, Yuan — University of Washington
- Study coordinator: Luo, Yuan
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.