Using machine learning to prevent kidney injury after heart surgery
Using Novel Machine Learning Methods to Personalize Strategies for Prevention of Persistent AKI after Cardiac Surgery
This study is looking to improve care for patients who might develop kidney problems after heart surgery by using smart computer techniques to create personalized plans that help manage their fluids and blood pressure better.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Icahn School of Medicine at Mount Sinai NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project ID | NIH-10894799 on NIH RePORTER |
What this research studies
This research aims to enhance the care of patients at risk for acute kidney injury (AKI) following cardiac surgery by utilizing advanced machine learning techniques. The project focuses on developing personalized prevention strategies that optimize patient management, including fluid status and blood pressure control. By analyzing data from patients undergoing cardiac procedures, the research seeks to identify effective interventions that can reduce the incidence of AKI. The principal investigator, trained in both nephrology and critical care, is committed to integrating health informatics and data science into clinical practice.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients scheduled for cardiac surgery who are at risk for developing acute kidney injury.
Not a fit: Patients who are not undergoing cardiac surgery or those with pre-existing severe kidney disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly reduce the occurrence of acute kidney injury in patients undergoing cardiac surgery, leading to better overall health outcomes.
How similar studies have performed: Previous research has shown promise in using data-driven approaches to manage acute kidney injury, indicating that this method could lead to meaningful advancements in patient care.
Where this research is happening
New York, United States
- Icahn School of Medicine at Mount Sinai — New York, United States (Active)
Researchers
- Principal investigator: Sakhuja, Ankit — Icahn School of Medicine at Mount Sinai
- Study coordinator: Sakhuja, Ankit
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.