Archived News 2024

Dr. Sarder presented to attendees at SSKWS that quantitative renal biopsy assessments for transplantation, when enhanced by AI-powered computational pathomic analysis, are expected to significantly outperform stand-alone assessments by on-call pathologists in terms of accuracy. He explained that this advancement will not only reduce organ discard rates but also improve organ quality estimation. Furthermore, Dr. Sarder presented that it would be a critical step toward better donor-recipient matching, ultimately leading to enhanced graft allocation and improved long-term outcomes for transplant patients.

Dr. Sarder captivated attendees at CVIS 2024 with his keynote, "Digital Pathology Meets Spatial Omics: Emerging Problems in Data Integration, Solutions, and New Opportunities." He explored the evolving challenges and opportunities at the intersection of digital pathology, spatial omics, and AI-driven imaging technologies, emphasizing the potential to transform medical research and healthcare through better data integration and innovative solutions.

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. In his presentation, Dr. Sarder examined the intersection of artificial intelligence, digital pathology, and spatial omics, focusing on the challenges of data integration and presenting new approaches that hold significant potential for advancing personalized healthcare.

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.

Dr. Sarder, speaking at ASN Kidney Week 2024, delivered a lecture titled "Potential Applications of Artificial Intelligence-Based Technology in Kidney Pathology" as part of the session "Expanding the Diagnostic Toolbox for Kidney Biopsy." He explored how AI-driven solutions can enhance disease detection, biopsy analysis, and overall diagnostic workflows in kidney pathology.

Dr. Sarder moderated the "Augmented Intelligence and Digital Health Advances" session at ASN Kidney Week 2024, focusing on the integration of AI and digital tools in healthcare. As moderator, Dr. Sarder facilitated discussions on emerging technologies aimed at improving kidney care, highlighting advancements in predictive models and real-time health monitoring.

Dr. Sarder presented "Digital Pathology Meets Spatial Omics: Emerging Problems in Data Integration, Solutions, and New Opportunities" at the University of Iowa Renal Grand Rounds. His talk focused on the challenges of integrating spatial omics data with digital pathology, offering solutions involving machine learning and AI.

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 traditionally…

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.