What we do!
We develop novel computational methods to study and understand tissue micro-anatomy using histopahtology and spatial-omics data acquired via diverse technologies. Our method has implications in clinical diagnostics and allows for studying the fundamentals of biological systems. Currently, our major focus involves studying diabetic kidney disease in humans.
~ $18M External Grant Funding
100 100 percent of our graduated Ph.D. students are placed in prominent pharma companies.
Latest works!
We published our work for the community on our cloud-based instance for digital pathology WSI visualization, automated segmentation, and error correction for training a semantic segmentation model. The source code, docker image, and a video overview are freely made available for the community. Visit CompRePS for latest information.
We released FUSION (Functional Unit State Identification in WSIs), a dynamic and interactive visualization tool specialized for spatially resolved molecular-omics and histology images. Example datasets and more information can be found at here. Link to the codes. The paper has been published in Nature Communications.
Using CompRePS, we published a new study demonstrating that AI-driven pathomic analysis of 5-year kidney transplant surveillance biopsies can predict future allograft loss. The paper has been published in the American Journal of Transplantation.
NEWS
02/16/2026 The CMIL team presents at SPIE Medical Imaging 2026 in Vancouver, Canada.
11/6/2025 The CMIL team participates in and presents its work at ASN 2025 in Houston, Texas.
9/30/2025 Nicholas and Akshita received KPMP Travel Awards and presented their work at Gallaudet University, Washington, D.C.
9/30/2025 Lúis Rodrigues, a collaborator of the CMIL team, presented the talk “Artificial Intelligence in Renal Pathology” during GlomCon Portugal’s 2025 online education series.
8/27/2025 The CMIL team has received $2,084,185 in funding from the National Institutes of Health (NIH) OT2 award to build a multimodal, ethically focused, AI-based model for screening, diagnosing, and caring for patients with Chronic Kidney Disease (CKD).
PRESENTATIONS BY OUR STUDENTS
NOVEMBER 3, 2023
ASN Kidney Week 2023
Akshita Gupta presenting her poster at the ASN Kidney Week 2023; Philadelphia, PA.
APRIL 5, 2023
Undergraduate Research Symposium
Our spring break HUBMAP intern, Nick Sherwin, participated in the UF 2023 Spring Undergraduate Research Symposium.
FEBRUARY 22, 2023
Nick’s poster presentation at SPIE 2023
Nick is presenting his and Brandon Ginley’s poster. The poster received an Honorable Mention Poster Award in SPIE Medical Imaging 2023; San Diego, CA.
