Speaker: Pinaki Sarder, PhD | Associate Professor, AI in Quantitative Health, Department of Medicine, University of Florida
Date: Wednesday, April 10th, 2024
Time: 10:00 AM Central Time
Location: Zoom (link to follow)
Title: Segmentation of Kidney Structures
Abstract: This talk will introduce the emerging field of digital and computational pathology, utilizing examples from studies focused on kidney microanatomy. We will delve into an overview of our research and that of others in the literature, specifically concerning the segmentation and feature extraction of kidney microanatomy from histology. Furthermore, we’ll explore the impact of our work in areas such as diabetic nephropathy classification, chronic kidney disease trajectory prediction, and its relevance to the NIH Kidney Precision Medicine Project (KPMP) consortium. Additionally, we will highlight our ongoing efforts within the Human Biomolecular Atlas Project (HuBMAP) consortium. Our focus here is directed towards detecting and segmenting multiple cell types and states exclusively from brightfield histology images. We will demonstrate a cloud-based, end-to-end system that operates through the UF supercomputing center. This system is designed to conduct various computational tasks related to renal pathology, starting with the analysis of brightfield histology images and extending to the integration of histology with spatial omics data. Lastly, we’ll conclude by discussing new opportunities and potential directions for collective contributions in the field of computational pathology.
Bio: Pinaki Sarder is currently an associate professor of AI in the Section of Quantitative Health of the Department of Medicine, as well as the Associate Director for Imaging in the Intelligent Critical Care Center at the University of Florida (UF). Before joining UF, he was an associate professor in the Departments of Pathology & Anatomical Sciences and Biomedical Engineering at the University at Buffalo (UB), where he was at the center of building the computationally enabled graduate program Computational Cell Biology, Anatomy, and Pathology. Prior to UB, he completed post-doctoral training at Mallinckrodt Institute of Radiology at the Washington University in St. Louis (WUSTL) School of Medicine. He received his B.Tech. degree in electrical engineering from the Indian Institute of Technology, Kanpur, in 2003, and M.Sc. and Ph.D. degrees in electrical engineering from WUSTL in 2010.
Dr. Sarder serves on the editorial board of the Journal of the American Society of Nephrology (JASN), is the Associate Editor of IEEE Journal of Biomedical Health Informatics, and a senior member of IEEE. He serves as research co-lead for ASN’s Augmented Intelligence and Digital Health Task Force. He was a recipient of the UB’s Exceptional Scholars – Young Investigator Award in 2018. His research interests include computational fusion of diverse spatial omics data while focusing on diabetic kidney disease. Dr. Sarder’s research is funded by National Institutes of Health, Kidney Precision Medicine Project (KPMP) Consortium, and Human Biomolecular Atlas Project (HubMAP) Consortium.