Using advanced computer methods to understand kidney diseases
SCH: Graph-based Spatial Transcriptomics Computational Methods in Kidney Diseases
This project is creating new computer tools to better understand how kidney diseases like Chronic Kidney Disease and Acute Kidney Injury develop.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Indiana University Indianapolis NIH-funded |
| Lab location | 1 site (Indianapolis, United States) |
| Project ID | NIH-11124641 on NIH RePORTER |
What this research studies
We are developing advanced computer programs, using artificial intelligence, to look closely at kidney tissue. These programs will help us identify different cell types and their unique characteristics within the kidney, even when they are very close together. By understanding these tiny details, we hope to learn more about how kidney diseases start and progress. Our goal is to uncover mechanisms that could help prevent acute kidney injury from turning into chronic kidney disease.
Who could benefit from this research
Good fit: This foundational work is for patients with Chronic Kidney Disease or Acute Kidney Injury, as it aims to improve our understanding of these conditions.
Not a fit: Patients not affected by kidney diseases would not directly benefit from this specific research.
Why it matters
Potential benefit: If successful, this work could lead to a deeper understanding of kidney disease development, potentially paving the way for new ways to prevent or treat conditions like Chronic Kidney Disease and Acute Kidney Injury.
How similar studies have performed: While spatial transcriptomics is an emerging field, this project proposes novel AI-based computational methods to address specific challenges in kidney disease analysis.
Where this research is happening
Indianapolis, United States
- Indiana University Indianapolis — Indianapolis, United States (Active)
Researchers
- Principal investigator: Wang, Juexin — Indiana University Indianapolis
- Study coordinator: Wang, Juexin
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.