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.
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, 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.
Samuel Border, a PhD student, recently presented his work at the March Demo Day, a key event for the HuBMAP community. This gathering, held in Orlando, served as a platform for researchers to showcase their ongoing projects, collaborate on ideas, and troubleshoot various challenges. The event plays a crucial role in fostering cross-group collaboration and providing valuable feedback within the scientific community.
Congratulations to Nicholas Lucarelli for receiving an Honorable Mention Poster Award at the SPIE Medical Imaging 2024 conference in San Diego, CA. Nicholas was recognized for his outstanding work on the abstract titled “Computational integration of CODEX and brightfield histology for cell annotation using deep learning,” which was presented in the Digital & Computational Pathology session from February 19-22, 2024.
Dr. Pinaki Sarder, Principal Investigator of the CMI lab, recently co-chaired two key sessions at the SPIE Medical Imaging 2024 conference in San Diego. The sessions, titled “Computer-Aided Diagnosis, Prognosis, and Predictive Analysis I & II,” were held on February 19 and 20, 2024, alongside Dr. Geert J.S. Litjens from Radboud University Medical Center, Netherlands.
In a recent virtual meeting with the NEPTUNE-CureGN consortium, PhD student Samuel Border introduced the FUSION tool to practicing pathologists, aiming to gather crucial feedback and recruit participants for a usability study. FUSION, which integrates segmentation algorithms with spatial transcriptomics data, is designed to enhance pathology workflows. Engaging with pathologists is key to refining the tool to better meet clinical needs, ultimately improving efficiency, accuracy, and quality in medical practice.
