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Nicholas and Akshita presented their work as KPMP Travel Award recipients at Gallaudet University, Washington, D.C.

Lúis Rodrigues, spoke on AI applications in renal pathology at GlomCon Portugal 2025.

The CMIL team has received $2,084,185 in funding from the National Institutes of Health (NIH) through the OT2 award to develop an AI-based, ethically focused, multi-modal framework for screening, diagnosing, and caring for patients with Chronic Kidney Disease (CKD). The project will integrate data from 200,000 patients, including electronic medical records, radiology, pathology, and spatial omics, to create a transformative resource for kidney health.

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.