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| title: Nirschl Lab for Computational Neuropathology | |
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| # Computational Neuropathology Lab | |
| **University of Wisconsin–Madison** | |
| We develop artificial intelligence and machine-learning methods for computational neuropathology. Our research integrates digital histopathology, whole-slide imaging, spatial transcriptomics, and multimodal data to improve disease quantification, biomarker discovery, and understanding of Alzheimer’s disease and related neurodegenerative disorders. | |
| ## Research areas | |
| * Computational and digital neuropathology | |
| * Deep learning for whole-slide image analysis | |
| * Spatial transcriptomics and multimodal data integration | |
| * Interpretable AI and quantitative tissue phenotyping | |
| * Alzheimer’s disease, Lewy body disease, and related dementias | |
| ## Open science | |
| We share models, datasets, and open-source tools that support transparent, reproducible biomedical research. Please consult each repository for documentation, licensing, intended use, and limitations. | |
| ## Principal investigator | |
| **Jeffrey Nirschl, MD, PhD** | |
| Physician-scientist and neuropathologist | |
| Assistant Professor of Pathology, University of Wisconsin–Madison | |
| * [Lab website](https://nirschl-lab.github.io/nirschl-lab-website/) | |
| * [Jeffrey Nirschl’s ORCID](https://orcid.org/0000-0001-6857-341X) |