New methods to predict and prevent kidney stone progression
Novel evidence-accumulation-driven methods for characterizing kidney stone progression
This study is working on creating personalized tools to help people with kidney stones understand their risk of getting more stones and find ways to prevent them from getting worse, so they can enjoy better health.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ut Southwestern Medical Center NIH-funded |
| Lab location | 1 site (Dallas, United States) |
| Project ID | NIH-11004024 on NIH RePORTER |
What this research studies
This research aims to improve the prevention of kidney stone progression by developing advanced clinical prediction tools and computational algorithms. It focuses on creating patient-specific risk models that take into account different types of kidney stones and their progression. By analyzing existing data and integrating it with electronic health records, the research seeks to identify modifiable risk factors that can help in preventing recurrent kidney stones. Patients may benefit from personalized strategies that could reduce their risk of developing further complications related to kidney stones.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals who have a history of kidney stones or are at risk for developing them.
Not a fit: Patients who have never experienced kidney stones or have conditions unrelated to kidney stone disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective prevention strategies for kidney stone disease, reducing pain and healthcare costs for patients.
How similar studies have performed: Previous research has shown promise in using predictive modeling for chronic diseases, indicating that this approach could be effective for kidney stone progression as well.
Where this research is happening
Dallas, United States
- Ut Southwestern Medical Center — Dallas, United States (Active)
Researchers
- Principal investigator: Liu, Yu-Lun — Ut Southwestern Medical Center
- Study coordinator: Liu, Yu-Lun
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 below.