The Department of Pathology and Laboratory Medicine at Brown University is actively engaged in research across both Anatomic Pathology (AP) and Clinical Pathology (CP) at the intersection of digital pathology, artificial intelligence, and clinical informatics. Building on a rapidly expanding whole slide imaging and informatics infrastructure, our work spans both Anatomic Pathology and Clinical Pathology with a focus on clinically meaningful applications.

Current research efforts include the development and validation of computational pathology and machine learning methods for histopathology and cytopathology, quantitative image analysis, and the integration of digital pathology with molecular and clinical data. Projects emphasize rigorous validation, interpretability, and real-world workflow integration, with the goal of advancing diagnostic accuracy, efficiency, and education.

Residents and fellows have opportunities to participate in digital pathology and AI-focused research through mentored projects, dedicated research tracks, and collaborations across pathology, biomedical informatics, engineering, and data science at Brown. Trainees interested in careers that bridge pathology, technology, and innovation are encouraged to engage in these efforts.