Understanding heart failure by analyzing patient data
Official title: Phenotyping Heart Failure through Analysis of Secondary Data
Funded at University of Colorado Denver · NIH-10764273 · Data updated 2026-11-12
This study is looking at a lot of information from heart failure patients to find out how different types of heart failure can be treated better, so that doctors can give you more personalized care and improve your health outcomes.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Colorado Denver NIH-funded |
| Lab location | 1 site (Aurora, UNITED STATES) |
| Project start | January 15, 2023 |
| Project end | December 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $102,087 |
| NIH project number | 5R21HL161761-02 |
| Project ID | NIH-10764273 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with heart failure who have participated in clinical trials or have data available in electronic health records.
✕Less likely to help
Patients without a diagnosis of heart failure or those who do not have accessible health data may not benefit from this research.
What this research studies
This research aims to analyze a large dataset of patients with heart failure using advanced machine learning techniques. By examining data from clinical trials and electronic health records, the project seeks to identify different types of heart failure and predict patient outcomes based on their unique characteristics. The goal is to improve how heart failure is managed by tailoring treatments to individual patient profiles. Patients may benefit from more personalized care and better treatment strategies as a result of this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective treatments for patients with heart failure.
How similar studies have gone: Previous research using similar data analysis techniques has shown promise in improving patient outcomes in heart failure management.
Where this research is happening
-
University of Colorado Denver
Aurora, United States Active
Researchers
- Principal investigator: Kao, David Peter — University of Colorado Denver
- Study coordinator: Kao, David Peter
Related research
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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.
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Digital-first heart failure care delivery in Uganda
A targeted program in Uganda tests a digital care plan to help people with heart failure manage their symptoms at home.
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Digital-first heart failure care delivery in Uganda
A study to test digital self-care tools to help people with heart failure in Uganda manage symptoms and stay healthier.
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.