Using computer technology to improve diagnosis and treatment of kidney diseases.
Computational Pathology of Proteinuric Diseases
This study is looking to improve how we understand and classify kidney diseases like focal segmental glomerulosclerosis (FSGS) and minimal change disease (MCD) by using advanced technology to analyze kidney biopsy images and patient information, which could help doctors give better diagnoses and predict how patients will do.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project ID | NIH-10895520 on NIH RePORTER |
What this research studies
This research focuses on enhancing the classification and understanding of focal segmental glomerulosclerosis (FSGS) and minimal change disease (MCD) through advanced computational pathology and machine learning techniques. By analyzing digital kidney biopsies alongside clinical and molecular data, the study aims to identify biologically relevant subtypes of these diseases. This approach seeks to provide more accurate diagnoses, predict patient outcomes, and uncover the underlying mechanisms of glomerular diseases. The interdisciplinary team involved has a strong background in this area, ensuring a comprehensive analysis of the data collected.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with focal segmental glomerulosclerosis or minimal change disease.
Not a fit: Patients with other types of kidney diseases not related to FSGS or MCD may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more precise diagnoses and tailored treatment options for patients with kidney diseases.
How similar studies have performed: Previous research has shown promising results using similar computational approaches in pathology, indicating potential for success in this novel application.
Where this research is happening
Durham, United States
- Duke University — Durham, United States (Active)
Researchers
- Principal investigator: Barisoni, Laura Mariachiara — Duke University
- Study coordinator: Barisoni, Laura Mariachiara
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.