Nicholas Gauthier’s innovative archaeology project has received crucial support through the 2024 Research Opportunity Seed Fund from UF Research in partnership with Strategic Research Development. His project aims to revolutionize the analysis of petrographic thin sections by integrating Whole Slide Imaging (WSI) and artificial intelligence (AI), automating what is…
The Journal of Medical Imaging (JMI) is currently inviting submissions for a special section dedicated to Computational Pathology. This is an excellent opportunity for researchers to contribute to a field that is rapidly advancing the capabilities of medical imaging in disease detection, diagnosis, and treatment. We encourage researchers working on fundamental and translational research, as well as those focused on practical applications in computational pathology, to submit their work. This special section aims to highlight research that leverages technological innovations to improve biomedical outcomes.
Sayat Mimar, a Senior Software Engineer, has been awarded a KPMP Fall 2024 travel grant to present his research at the upcoming KPMP consortium meeting in Bethesda, MD. His work, titled "A Cloud-based Gigapixel-Size Whole Slide Image Analysis Platform for KPMP," focuses on advancing computational pathology through innovative image analysis tools.
PhD student Sam Border and his team from the CMI lab has published a new study in Scientific Reports titled “Investigating quantitative histological characteristics in renal pathology using HistoLens.” This study explores the use of HistoLens, an open-source tool developed by the lab, for the visual and quantitative analysis of histological datasets, specifically in the context of renal pathology.
Our PI, Dr. Pinaki Sarder, delivered a talk at the Contextualizing Cellular Physiology Workshop held on June 11-12, 2024. His presentation, titled "Cell Classification Using Morphometry and Unique Challenges in Performance Analysis," focused on methods for classifying cells from image data. Dr. Sarder discussed the challenges associated with morphometric analysis and performance evaluation in cell classification, highlighting innovative machine learning techniques. The workshop gathered experts across disciplines to discuss imaging, data integration, and AI applications in advancing biological research and identifying disease mechanisms.
Dr. Pinaki Sarder delivered a talk on "Cell Classification Using Morphometry and Unique Challenges in Performance Analysis" at the Contextualizing Cellular Physiology Workshop. His presentation explored the complexities of classifying cells through morphometric analysis, with a focus on performance challenges. The workshop gathered experts from various fields—biology, pathology, and machine learning—to discuss advanced techniques in imaging, cell identification, and omics data integration, fostering interdisciplinary collaboration and innovation in cellular research.
Dr. Pinaki Sarder, PI of the CMI lab, recently served on the Advisory Committee and as a session moderator at the AI4Health Conference, held at Disney's Yacht Club on April 23, 2024. Dr. Sarder co-moderated the session titled "Clinical Applications of AI in Precision Health: Digital Pathology, Spatial Biology, and AI." The session featured distinguished speakers, including Dr. Sizun Jiang from Harvard University, Dr. Ulysses G.J. Balis from the University of Michigan, and Dr. Derek Allison from the University of Kentucky. The discussions focused on AI-driven approaches in spatial-omics, the integration of AI tools in clinical pathology workflows, and the future intersection of digital pathology and spatial biology.
Dr. Pinaki Sarder delivered an insightful talk titled "Segmentation of Kidney Structures" as part of the UW-Madison ML4MI Seminar Series. His presentation provided a deep dive into the rapidly evolving field of digital and computational pathology, highlighting significant advancements in kidney microanatomy segmentation. Dr. Sarder showcased research on the segmentation and feature extraction of kidney structures from histological images. He also discussed the application of these methods in diabetic nephropathy classification and chronic kidney disease trajectory prediction, emphasizing their relevance to major research initiatives such as the NIH Kidney Precision Medicine Project (KPMP) and the Human Biomolecular Atlas Project (HuBMAP).
The FUSION Usability Study recently launched recruitment following presentations by Samuel Border, a PhD student from the CMI Lab, at key nephropathology meetings. On February 13, Border presented at the Banff Foundation’s Digital Pathology Working Group, followed by an April 5 session for Duke University nephrology experts. Both Zoom…
Akshita Gupta, a PhD student at our lab, earned the runner-up position in the highly competitive poster competition during Health Outcomes and Biomedical Informatics (HOBI) Education Day. Gupta’s poster, titled "Automated Pipeline for Peritubular Capillary Inflammation Scoring," showcased her pioneering work in kidney transplantation research.
