College of Medicine
Sarder Lab
Led by Pinaki Sarder · Medicine
What we study
The Sarder Lab uses computer tools to study kidney diseases, focusing on imaging and AI to analyze kidney biopsies and predict outcomes. They work with large datasets from projects like KPMP and HuBMAP.
What working here is like
- Computational
- Clinical
- Coding required
- Projects
- 3
- Papers
- 5
Current projects
Computational Image Analysis of Renal Transplant Biopsies to Predict Graft Outcome
Using AI to analyze kidney transplant biopsies to improve patient outcomes.
Artificial Intelligence-based & Ethically-focused Multi-Modal Data Integration Framework for Screening, Diagnosing, and Caring…
Developing AI tools to help diagnose and manage chronic kidney disease.
Show 1 more projectsShow fewer
KPMP Kidney Mapping and Atlas Project (KMAP)
Creating detailed maps of kidney structures to advance kidney disease research.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- A Scoping Review of Machine Learning Applications for Diagnosis, Classification, and Prognosis in Lupus Nephritis
2026 · Kidney360
Reviews how machine learning can help diagnose and predict outcomes in lupus kidney disease.
- A MEF2C transcription factor network regulates proliferation of glomerular endothelial cells in diabetic kidney disease
2026 · Kidney International
Show 3 more papersShow fewer
- AI-Based Digital Pathology-Enabled Spatial-Omics Data Analyses of the Human Kidney
2026 · Journal of Proteome Research
Uses AI to study sugar molecules in kidney tissue to understand disease causes.
- Pathomic analysis of 5-year surveillance biopsies as predictors of kidney allograft loss
2026 · American Journal of Transplantation
Looks at kidney transplant biopsies to see if certain features predict graft failure.
- HuBMAP Data Portal: a resource for multimodal spatial and single-cell data of healthy human tissues
2026 · Nature Communications
Creates a website to share and explore data on healthy human tissues from many sources.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Pinaki Sarder hasn't set up this page yet. You can also look them up in the UF directory (search “Pinaki Sarder”).