Digital analysis of kidney biopsy images for lupus nephritis

Digital Pathology and Computational Image Analysis for Lupus Nephritis

['FUNDING_R01'] · UNIVERSITY OF MICHIGAN AT ANN ARBOR · NIH-11299563

Using computerized analysis of digitized kidney biopsy images to find features that predict how lupus nephritis will behave in adults, especially people of African ancestry.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorUNIVERSITY OF MICHIGAN AT ANN ARBOR (nih funded)
Locations1 site (ANN ARBOR, UNITED STATES)
Trial IDNIH-11299563 on ClinicalTrials.gov

What this research studies

If you join, researchers will digitize your lupus kidney biopsy slides or accept existing digital images and run computer algorithms to measure tissue features. The team will link those image-based measurements to your medical history and follow-up information to search for patterns tied to worsening kidney disease. By turning microscope observations into consistent numbers, they aim to reduce variability between pathologists and make predictions more reproducible. Ultimately the project tries to build tools that help doctors spot patients at higher risk earlier.

Who could benefit from this research

Good fit: Adults (21+) with systemic lupus erythematosus who have had a kidney biopsy for lupus nephritis, particularly patients of African ancestry, would be the best fit.

Not a fit: People without a lupus kidney biopsy, children under 21, or patients whose kidney disease is caused by conditions other than lupus are unlikely to benefit directly from this project.

Why it matters

Potential benefit: If successful, this work could help doctors identify who is more likely to lose kidney function and guide earlier, more targeted treatment to prevent kidney failure.

How similar studies have performed: Digital pathology and computational image analysis have shown promise in other kidney diseases, but applying these methods to large lupus nephritis cohorts is relatively new.

Where this research is happening

ANN ARBOR, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.