Assistant Professor of Pathology
Brigham and Women's Hospital
Brigham and Women
60 Fenwood Rd
Boston MA 02115
Mahmood Lab aims to utilize machine learning, data fusion, and medical image analysis to develop streamlined workflows for cancer diagnosis, prognosis, and biomarker discovery. We are interested in developing automated and objective mechanisms for reducing interobserver and intraobserver variability in cancer diagnosis using artificial intelligence as an assistive tool for pathologists. The lab also focuses on the development of new algorithms and methods to identify clinically relevant morphologic phenotypes and biomarkers associated with response to specific therapeutic agents. We develop multimodal fusion algorithms for combining information from multiple imaging modalities, familial and patient histories and multi-omics data to make more precise diagnostic, prognostic and therapeutic determinations.
The research activities and funding listed below are automatically derived from
NIH ExPORTER and other sources, which might result in incorrect or missing items.
to make corrections and additions.
Sep 15, 2020 - Jul 31, 2025
Interpretable Deep Learning Algorithms for Pathology Image Analysis
Role: Principal Investigator
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