Using computer analysis of kidney transplant biopsies to predict transplant success
Computational Image Analysis of Renal Transplant Biopsies to Predict Graft Outcome
This study is looking at how using advanced computer imaging can help doctors better understand kidney tissue in transplant patients, with the hope of improving transplant success and reducing the need for extra surgeries.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Florida NIH-funded |
| Lab location | 1 site (Gainesville, United States) |
| Project ID | NIH-10920408 on NIH RePORTER |
What this research studies
This research focuses on improving kidney transplant outcomes by utilizing advanced computer image analysis techniques on biopsy samples. By integrating high-resolution digital imaging with artificial intelligence, the project aims to identify chronic changes in kidney tissue that traditional methods may overlook. This innovative approach seeks to enhance the prediction of graft dysfunction and optimize treatment strategies for transplant recipients. Ultimately, the goal is to improve the management of kidney transplants and reduce the need for additional surgeries.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals who are first-time kidney transplant recipients.
Not a fit: Patients who are not undergoing kidney transplantation or those with previous transplant failures may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to better prediction of kidney transplant success, improving patient outcomes and quality of life.
How similar studies have performed: Other research has shown promise in using digital image analysis for predicting transplant outcomes, indicating that this approach may be effective.
Where this research is happening
Gainesville, United States
- University of Florida — Gainesville, United States (Active)
Researchers
- Principal investigator: Sarder, Pinaki — University of Florida
- Study coordinator: Sarder, Pinaki
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.