Image of Maha Reda Farhat

Maha Reda Farhat, M.D., M.D.,C.M.

617-432-4598

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.

Program in Global Surgery and Social Change

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
DBMI Courses
Future-proofing tuberculosis therapy: framework for concurrent drug and resistance testing development.
Authors: Authors: Saluzzo F, Yerlikaya S, Dorman SE, Eisenach K, Farhat MR, Ismail N, Lienhardt C, Walker TM, Jones F, Yepes A, Penn-Nicholson A, Ruhwald M, Kana B, Denkinger CM, Cirillo DM.
Lancet Infect Dis
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Insights into the Role of Rifampicin Exposure and Clinical Baseline Covariates on the Response to Pulmonary Tuberculosis Treatment.
Authors: Authors: Wijk M, Denti P, Gausi K, Myers B, Carney T, White LF, Theron D, Parry CDH, Horsburgh CR, Rawoot N, Warren RM, Court R, Kulkarni SG, Farhat MR, Buys C, Malatesta S, Weber SE, Kulkarni S, McIlleron H, Jacobson KR, Kloprogge F.
Clin Infect Dis
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Tuberculosis Disease Prevalence Among People Who Smoke Illicit Drugs: A Respondent- Driven Sampling Study in the Western Cape, South Africa.
Authors: Authors: Malatesta S, Carney T, Niemand Wolhuter N, Overbeck V, Theron D, Weber SE, Meade CS, Thomson S, Bouton TC, Farhat M, Myers B, Wood R, Ratangee F, Horsburgh CR, White LF, Warren RM, Jacobson KR.
J Infect Dis
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Convolutional neural networks quantify antibiotic resistance in Mycobacterium tuberculosis with diagnostic grade accuracy and predict treatment response.
Authors: Authors: Kulkarni SG, Green AG, Mann BC, Malatesta S, Kulkarni-Goodwin S, Cesare N, Mulaudzi S, Rawoot N, Warren RM, Jacobson KR, Farhat MR.
Nat Commun
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Tuberculosis Disease Severity Assessment Using Clinical Variables and Radiology Enabled by Artificial Intelligence.
Authors: Authors: Ghanem M, Srivastava R, Ektefaie Y, Hoppes D, Rosenfeld G, Yaniv Z, Grinev A, Xu AY, Yang E, Velásquez GE, Harrison L, Rosenthal A, Savic RM, Jacobson KR, Farhat MR.
J Infect Dis
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Gene conversion is a key driver of diversity hotspots in M. tuberculosis antigens and virulence-associated loci.
Authors: Authors: Marin MG, Quinones-Olvera N, Jin H, Harris MA, Jeffrey BM, Rosenthal A, Murphy KC, Sassetti C, Li H, Farhat MR.
bioRxiv
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Benchmarking within-sample minority variant detection with short-read sequencing in M. tuberculosis.
Authors: Authors: Mulaudzi S, Kulkarni S, Marin MG, Farhat MR.
bioRxiv
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An Integrated Data-Driven Model for Clinical Phenotyping of Tuberculosis Disease Severity.
Authors: Authors: Malatesta S, Jacobson KR, Horsburgh CR, Farhat M, Carney T, Gile KJ, Kolaczyk ED, White LF.
medRxiv
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The structural context of mutations in proteins predicts their effect on antibiotic resistance.
Authors: Authors: Green AG, Tasmin M, Vargas R, Farhat MR.
bioRxiv
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The Mycobacterium tuberculosis complex pangenome is small and shaped by sub-lineage-specific regions of difference.
Authors: Authors: Behruznia M, Marin M, Whiley DJ, Farhat MR, Thomas JC, Domingo-Sananes MR, Meehan CJ.
Elife
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