Maha Farhat

Maha Farhat, MD, MSc

Gilbert S. Omenn Associate Professor of Biomedical Informatics
Associate Director, Bioinformatics and Integrative Genomics (BIG) PhD Track

10 Shattuck Street #307, Boston, MA 02115

Maha Farhat  holds an MD from the McGill University Faculty of Medicine and a MSc in biostatistics from the Harvard Chan School of Public Health. She is also a practicing physician at the Massachusetts General Hospital Division of Pulmonary and Critical Care Medicine.

Dr. Farhat's research focuses on the development and application of methods for associating genotype and phenotype in infectious disease pathogens, with a strong emphasis on translation to better diagnostics and surveillance in resource-poor settings. To date, Farhat's work has focused on the pathogen Mycobacterium tuberculosis and spans the spectrum from computational analysis to field studies. She is PI and Co-Investigator on several large projects funded by NIH including the NIAID and the BD2K initiative.


DBMI Research Areas
A comparison of early versus late initiation of renal replacement therapy in critically ill patients with acute kidney injury: a systematic review and meta-analysis.
Authors: Karvellas CJ, Farhat MR, Sajjad I, Mogensen SS, Leung AA, Wald R, Bagshaw SM.
Crit Care
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Interpreting expression data with metabolic flux models: predicting Mycobacterium tuberculosis mycolic acid production.
Authors: Colijn C, Brandes A, Zucker J, Lun DS, Weiner B, Farhat MR, Cheng TY, Moody DB, Murray M, Galagan JE.
PLoS Comput Biol
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Thinking in three dimensions: a web-based algorithm to aid the interpretation of tuberculin skin test results.
Authors: Menzies D, Gardiner G, Farhat M, Greenaway C, Pai M.
Int J Tuberc Lung Dis
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False-positive tuberculin reactions due to non-tuberculous mycobacterial infections.
Authors: Cobelens FG, Menzies D, Farhat M.
Int J Tuberc Lung Dis
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False-positive tuberculin skin tests: what is the absolute effect of BCG and non-tuberculous mycobacteria?
Authors: Farhat M, Greenaway C, Pai M, Menzies D.
Int J Tuberc Lung Dis
View full abstract on Pubmed