Dr. Pinaki Sarder delivered a talk, "Digital Pathology Meets Spatial Omics: Emerging Problems in Data Integration, Solutions, and New Opportunities," highlighting AI-driven cell prediction and new opportunities in drug discovery.
Under the guidance of Dr. Anindya Paul, the CMIL team presented three oral abstracts at the European Renal Association Congress 2025 in Vienna, showcasing advancements in computational pathology for kidney transplantation.
Samuel Border, a Ph.D. student of Dr. Sarder, successfully defended his thesis on advancing computational pathology through interactive tools and multi-modal data integration.
CMIL team presented AI tools for digital pathology and spatial data analysis at HuBMAP 2025 in Philadelphia, PA.
Dr. Sarder delivered a talk at the Histochemical Society meeting at Pathology 2025 conference in Portland focused on the intersection of digital pathology and spatial omics, emphasizing advancements in AI-driven cell type prediction and cross-scale biological modeling.
Dr. Sarder gave an invited talk at Northwestern University in Chicago, titled "Digital Pathology Meets Spatial Omics: Data Integration in Scale & Toward Disease Outcome Prediction."
The Computational Microscopy Imaging Lab (CMIL), led by Nicholas, Sumanth, and Suhas, organized a HuBMAP hackathon in Boston. The event focused on developing interactive Jupyter notebooks to compare healthy single-cell reference data with diseased tissue data from consortia such as CFDE and KPMP. These tools, now openly available on HuBMAP Portal Workspaces, follow FAIR principles and promote collaborative biomedical research.
Dr. Afsari and Dr. Naglah, both recipients of the Kidney Precision Medicine Project (KPMP) travel award, presented their latest research at Gallaudet University in Washington, D.C. Dr. Afsari presented an AI-driven diagnostic index designed to differentiate diabetic nephropathy from podocytopathies such as focal segmental glomerulosclerosis (FSGS). Her work aims to…
At SPIE Medical Imaging 2025, the CMIL team gave 6 presentations and had 1 poster recognized with an award. The group, including Dr. Afsari, Dr. Mimar, Akshita, Jamie, Hari, Suhas, and Ishaq, shared ongoing work in computational pathology, machine learning, and histological image analysis.
Dr. Sarder led two sessions at SPIE Medical Imaging 2025, where researchers presented methods for segmenting cellular and tissue structures, as well as techniques for analyzing multistain and multispectral images. The sessions highlighted the role of AI and computational approaches in pathology.
