
What we do!
We develop novel computational methods to study and understand tissue micro-anatomy using 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.
$14M 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.
Our work integrating deep semantic segmentation and transformer models for disease progression prediction starting from digital image pixels and preserving pixel level spatial relationships between important tissue structures is available online. Great work by Ben Shickel (Assistant Professor, Medicine – Quantitative Health) and Nicholas Lucarelli.
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.
join us!
Postdoctoral Associate position available: Job description.
Undergraduate Research Internship available: Job description.
HuBMAP Summer Internship: HuBMAP Website.
NEWS
12/3/2024 Dr. Sarder was a keynote speaker at CVIS 2024, where he presented on the emerging challenges and opportunities in the field of digital pathology. His talk, titled “Digital Pathology Meets Spatial Omics: Emerging Problems in Data Integration, Solutions, and New Opportunities,” delved into how these cutting-edge technologies are reshaping the landscape of medical data analysis and its integration with AI and imaging advancements.
11/20/2024 Dr. Sarder presented his talk “Digital Pathology Meets Spatial Omics: Emerging Problems in Data Integration, Solutions, and New Opportunities” at the University of Illinois Bioengineering Distinguished Seminar Series, highlighting the challenges of integrating spatial omics data with digital pathology and proposing AI and machine learning as key solutions.
11/07/2024 Dr. Sarder delivered an engaging guest lecture at the Boston University BIT-ARC Research Symposium, titled “Digital Pathology Meets Spatial Omics: Emerging Problems in Data Integration, Solutions, and New Opportunities.” His talk explored the integration of artificial intelligence, digital pathology, and spatial omics, addressing key challenges in data integration and showcasing innovative solutions with promising applications in precision medicine.
10/26/2024 Dr. Sarder presented the lecture “Potential Applications of Artificial Intelligence-Based Technology in Kidney Pathology” at ASN Kidney Week 2024 during the session “Expanding the Diagnostic Toolbox for Kidney Biopsy.” His talk highlighted the role of AI in advancing kidney pathology, focusing on its potential to improve diagnostic precision and efficiency.
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.
