Creating a system to predict risks for lung transplant candidates and donors
Developing a Donor-Candidate Risk Prediction System to Optimize Lung Allocation and Transplant Outcomes
This study is working to make lung transplants safer and more successful by creating a system that looks at both the donors and the patients to better match them, so that people needing a transplant can have a better chance of recovery.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Cleveland Clinic Lerner Com-Cwru NIH-funded |
| Lab location | 1 site (Cleveland, United States) |
| Project ID | NIH-11051866 on NIH RePORTER |
What this research studies
This research aims to improve lung transplant outcomes by developing a risk prediction system that considers both donor and candidate characteristics. By utilizing advanced machine learning and traditional statistical methods, the project will analyze how these factors interact and affect post-transplant survival. The goal is to create a more effective organ allocation strategy that maximizes the chances of successful transplants for patients in need. Patients may benefit from a more tailored approach to lung transplantation based on their unique profiles.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals awaiting lung transplants and potential organ donors.
Not a fit: Patients who are not candidates for lung transplantation or those with conditions unrelated to lung disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved survival rates and better outcomes for lung transplant recipients.
How similar studies have performed: Other research has shown promise in using machine learning for organ allocation, indicating that this approach could be effective.
Where this research is happening
Cleveland, United States
- Cleveland Clinic Lerner Com-Cwru — Cleveland, United States (Active)
Researchers
- Principal investigator: Lehr, Carli — Cleveland Clinic Lerner Com-Cwru
- Study coordinator: Lehr, Carli
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.