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
Genotype-Phenotype Characterization of Serial Mycobacterium tuberculosis Isolates in Bedaquiline-Resistant Tuberculosis.
Authors: Brown TS, Tang L, Omar SV, Joseph L, Meintjes G, Maartens G, Wasserman S, Shah NS, Farhat MR, Gandhi NR, Ismail N, Brust JCM, Mathema B.
Clin Infect Dis
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Phase variation as a major mechanism of adaptation in Mycobacterium tuberculosis complex.
Authors: Vargas R, Luna MJ, Freschi L, Marin M, Froom R, Murphy KC, Campbell EA, Ioerger TR, Sassetti CM, Farhat MR.
Proc Natl Acad Sci U S A
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Analysis of Genome-Wide Mutational Dependence in Naturally Evolving Mycobacterium tuberculosis Populations.
Authors: Green AG, Vargas R, Marin MG, Freschi L, Xie J, Farhat MR.
Mol Biol Evol
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Mutation rates and adaptive variation among the clinically dominant clusters of Mycobacterium abscessus.
Authors: Commins N, Sullivan MR, McGowen K, Koch EM, Rubin EJ, Farhat M.
Proc Natl Acad Sci U S A
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High-throughput phenogenotyping of Mycobacteria tuberculosis clinical strains reveals bacterial determinants of treatment outcomes.
Authors: Stanley S, Spaulding CN, Liu Q, Chase MR, Ha DTM, Thai PVK, Lan NH, Thu DDA, Quang NL, Brown J, Hicks ND, Wang X, Marin M, Howard NC, Vickers AJ, Karpinski WM, Chao MC, Farhat MR, Caws M, Dunstan SJ, Thuong NTT, Fortune SM.
bioRxiv
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Multimodal learning with graphs.
Authors: Ektefaie Y, Dasoulas G, Noori A, Farhat M, Zitnik M.
Nat Mach Intell
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Clinical implications of molecular drug resistance testing for Mycobacterium tuberculosis: a 2023 TBnet/RESIST-TB consensus statement.
Authors: Domínguez J, Boeree MJ, Cambau E, Chesov D, Conradie F, Cox V, Dheda K, Dudnyk A, Farhat MR, Gagneux S, Grobusch MP, Gröschel MI, Guglielmetti L, Kontsevaya I, Lange B, van Leth F, Lienhardt C, Mandalakas AM, Maurer FP, Merker M, Miotto P, Molina-Moya B, Morel F, Niemann S, Veziris N, Whitelaw A, Horsburgh CR, Lange C.
Lancet Infect Dis
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Optimizing DNA Extraction from Pediatric Stool for Diagnosis of Tuberculosis and Use in Next-Generation Sequencing Applications.
Authors: Ness TE, Meiwes L, Kay A, Mejia R, Lange C, Farhat M, Mandalakas A, DiNardo A.
Microbiol Spectr
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Demographic and Viral-Genetic Analyses of COVID-19 Severity in Bahrain Identify Local Risk Factors and a Protective Effect of Polymerase Mutations.
Authors: Koch EM, Du J, Dressner M, Alwasti HE, Taif ZA, Shehab F, Mohamed AM, Ghanem A, Haghighi A, Sunyaev S, Farhat M.
medRxiv
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COVID-19 bacteremic co-infection is a major risk factor for mortality, ICU admission, and mechanical ventilation.
Authors: Patton MJ, Orihuela CJ, Harrod KS, Bhuiyan MAN, Dominic P, Kevil CG, Fort D, Liu VX, Farhat M, Koff JL, Lal CV, Gaggar A, Richter RP, Erdmann N, Might M, Gaggar A.
Crit Care
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