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Mahmood Lab
AI for Pathology Image Analysis

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. We are affiliated with the Bioinformatics and Integrative Genomics (BIG) program at Harvard and the Cancer Data Science Program at the Dana-Farber Cancer Institute and the Broad Institute of Harvard and MIT.

Contact:
✉️faisalmahmood<at>bwh.harvard.edu
🏢8002-K, HBTM, 60 Fenwood Rd., Boston, MA 02115

Administrative Assistant
Martina Bragg, mbragg<at>bwh.harvard.edu, 617-525-8953

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