Using machine learning to find early signs of chronic graft-versus-host disease after blood stem cell transplants
Machine Learning to identify Biomarkers for Risk of Chronic Graft-Versus-Host Disease
This study is looking for clues in blood samples from patients who have had a stem cell transplant to help predict if they might develop chronic graft-versus-host disease (cGVHD), so that doctors can catch it early and provide better treatment.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Medical University of South Carolina NIH-funded |
| Lab location | 1 site (Charleston, United States) |
| Project ID | NIH-11001469 on NIH RePORTER |
What this research studies
This research aims to identify specific biomarkers that can predict the risk of developing chronic graft-versus-host disease (cGVHD) in patients who have undergone allogeneic hematopoietic cell transplantation (HCT). By analyzing previously collected blood samples and using advanced machine learning techniques, the study seeks to uncover proteomic and cellular signatures that indicate the impending onset of cGVHD. The goal is to enhance early detection and improve patient outcomes by enabling preemptive treatment strategies before clinical symptoms appear.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals who are undergoing or have recently undergone allogeneic hematopoietic cell transplantation.
Not a fit: Patients who have not undergone blood stem cell transplants or those who are not at risk for cGVHD may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier identification and treatment of patients at risk for cGVHD, potentially improving survival rates and quality of life.
How similar studies have performed: Previous research has shown promise in using machine learning and biomarker identification for similar conditions, indicating a potential for success in this novel approach.
Where this research is happening
Charleston, United States
- Medical University of South Carolina — Charleston, United States (Active)
Researchers
- Principal investigator: Paczesny, Sophie — Medical University of South Carolina
- Study coordinator: Paczesny, Sophie
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.