Heather Kates, Bioinformatician III at the University of Florida, presented “FUSION: Biological Insight from Pathomics and Molecular Data” at the HuBMAP Annual Meeting in Rockville, Maryland. During her session, she provided a live demonstration of FUSION, a web-based platform developed by Dr. Sarder’s lab that integrates multi-omics data with histology,…
Dr. Pinaki Sarder, Associate Professor of AI in the Department of Medicine at the University of Florida, delivered an invited lecture titled “AI × Molecular Insight: Bridging Every Scale” at the Division of Nephrology & Hypertension, Stony Brook University. The presentation highlighted how artificial intelligence is transforming biomedical research by…
Dr. Pinaki Sarder, University of Florida, serves as a keynote speaker at the 2026 Pediatric Centers of Excellence in Nephrology (PCEN) Scientific Symposium, held virtually on March 23, 2026. His keynote presentation, “AI × Molecular Insight—Bridging Every Scale,” explores how artificial intelligence is advancing the integration of molecular, spatial, and…
Dr. Pinaki Sarder recently presented an invited seminar at the University of Houston titled “AI × Molecular Insight: Bridging Every Scale.” In his talk, he highlighted advances in computational pathology and spatial omics, demonstrating how artificial intelligence can integrate molecular data with histology images to better understand disease biology. Dr.
Nicholas Lucarelli has earned his Doctor of Philosophy (Ph.D.) in Biomedical Engineering from the University of Florida after successfully defending his dissertation, “Bridging Pathology and Spatial Omics: AI-Enabled Large-Scale Annotation and Application in Histopathology.” Under the mentorship of Dr. Pinaki Sarder, Lucarelli’s research focused on advancing computational pathology through artificial…
The CMIL team presented four abstracts at SPIE Medical Imaging 2026 conference held in Vancouver, Canada. Their work collectively highlighted advances in AI-driven computational pathology, including tools for consensus-based annotation, deep learning approaches for cell type prediction in lung tissue, and pathomics-based models for predicting kidney disease progression and outcomes.
The CMIL team presented eight posters spanning advanced image analysis and kidney disease research, while Dr. Sarder contributed as a session moderator, panelist, and presenter on AI-driven approaches in pathology.
Nicholas and Akshita presented their work as KPMP Travel Award recipients at Gallaudet University, Washington, D.C.
Lúis Rodrigues, spoke on AI applications in renal pathology at GlomCon Portugal 2025.
The CMIL team has received $2,084,185 in funding from the National Institutes of Health (NIH) through the OT2 award to develop an AI-based, ethically focused, multi-modal framework for screening, diagnosing, and caring for patients with Chronic Kidney Disease (CKD). The project will integrate data from 200,000 patients, including electronic medical records, radiology, pathology, and spatial omics, to create a transformative resource for kidney health.
