Assessing the risk of rejection in heart transplant patients
Personalized Rejection Risk Assessment in Cardiac Transplantation
This study is looking to help heart transplant patients by using smart computer technology to better understand their risk of heart rejection, so doctors can give them more personalized care and avoid unnecessary treatments.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pennsylvania NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project ID | NIH-10909048 on NIH RePORTER |
What this research studies
This research focuses on improving the assessment of cardiac allograft rejection risk in patients who have undergone heart transplantation. By utilizing advanced machine-learning algorithms and existing clinical data, the project aims to create personalized risk assessments that can help tailor post-transplant care. This approach seeks to reduce unnecessary procedures and optimize immunosuppression therapy based on individual patient risk levels. The goal is to enhance patient outcomes by providing more precise and actionable insights into rejection risk.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals who have received a heart transplant and are undergoing routine monitoring for cardiac allograft rejection.
Not a fit: Patients who have not undergone heart transplantation or those who are not being monitored for rejection may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective management of heart transplant patients, reducing the risk of rejection and improving long-term survival.
How similar studies have performed: Other research has shown promise in using machine learning for personalized medicine, indicating potential success for this novel approach in cardiac transplantation.
Where this research is happening
Philadelphia, United States
- University of Pennsylvania — Philadelphia, United States (Active)
Researchers
- Principal investigator: Peyster, Eliot — University of Pennsylvania
- Study coordinator: Peyster, Eliot
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.