AI-created 3D views of kidney biopsy tissue
AI-empowered 3D Computer Vision and Image-Omics Integration for Digital Kidney Histopathology
['FUNDING_R01'] · VANDERBILT UNIVERSITY · NIH-11251202
This project uses AI to turn routine kidney biopsy images into 3D maps to help doctors better understand kidney disease and transplant rejection in adults.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | VANDERBILT UNIVERSITY (nih funded) |
| Locations | 1 site (Nashville, UNITED STATES) |
| Trial ID | NIH-11251202 on ClinicalTrials.gov |
What this research studies
You would have routine kidney biopsy slides processed into detailed 3D reconstructions using artificial intelligence applied to the usual 2D scanned images. The researchers will combine these 3D images with molecular data (spatial transcriptomics) to link tissue structure with local gene activity. Their toolkits (Map3D, Pheno3D, GPS3D) aim to make pathology readings more consistent and to find new imaging and molecular markers. The goal is to help doctors give more personalized diagnoses and prognoses for people with chronic kidney disease and kidney transplants.
Who could benefit from this research
Good fit: Adults who are undergoing or have undergone a kidney biopsy, including people with chronic kidney disease and kidney transplant recipients, are the most relevant candidates.
Not a fit: People without kidney disease, children, or anyone not having a kidney biopsy are unlikely to benefit directly from this work.
Why it matters
Potential benefit: If successful, this could lead to more accurate and personalized diagnosis and prognosis for people with chronic kidney disease and transplant rejection.
How similar studies have performed: Digital pathology and AI have improved 2D image analysis before, but applying AI to build 3D kidney histology and combining it with spatial transcriptomics is largely novel.
Where this research is happening
Nashville, UNITED STATES
- VANDERBILT UNIVERSITY — Nashville, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: HUO, YUANKAI — VANDERBILT UNIVERSITY
- Study coordinator: HUO, YUANKAI
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.