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
Identification of bacterial determinants of tuberculosis infection and treatment outcomes: a phenogenomic analysis of clinical strains.
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.
Lancet Microbe
View full abstract on Pubmed
Drug resistance and epidemiological success of modern Mycobacterium tuberculosis lineages in western India.
Authors: Dixit A, Ektefaie Y, Kagal A, Freschi L, Karyakarte R, Lokhande R, Groschel M, Tornheim JA, Gupte N, Pradhan NN, Paradkar MS, Deshmukh S, Kadam D, Schito M, Engelthaler DM, Gupta A, Golub J, Mave V, Farhat M.
J Infect Dis
View full abstract on Pubmed
Implications of Race Adjustment in Lung-Function Equations.
Authors: Diao JA, He Y, Khazanchi R, Nguemeni Tiako MJ, Witonsky JI, Pierson E, Rajpurkar P, Elhawary JR, Melas-Kyriazi L, Yen A, Martin AR, Levy S, Patel CJ, Farhat M, Borrell LN, Cho MH, Silverman EK, Burchard EG, Manrai AK.
N Engl J Med
View full abstract on Pubmed
For Tuberculosis, Not "To Screen or Not to Screen?" but "Who?" and "How?"
Authors: Farhat MR, Jacobson KR.
Clin Infect Dis
View full abstract on Pubmed
Precision Phenotyping for Curating Research Cohorts of Patients with Post-Acute Sequelae of COVID-19 (PASC) as a Diagnosis of Exclusion.
Authors: Azhir A, Hügel J, Tian J, Cheng J, Bassett IV, Bell DS, Bernstam EV, Farhat MR, Henderson DW, Lau ES, Morris M, Semenov YR, Triant VA, Visweswaran S, Strasser ZH, Klann JG, Murphy SN, Estiri H.
medRxiv
View full abstract on Pubmed
Transcriptomic responses to antibiotic exposure in Mycobacterium tuberculosis.
Authors: Poonawala H, Zhang Y, Kuchibhotla S, Green AG, Cirillo DM, Di Marco F, Spitlaeri A, Miotto P, Farhat MR.
Antimicrob Agents Chemother
View full abstract on Pubmed
Estimation of country-specific tuberculosis resistance antibiograms using pathogen genomics and machine learning.
Authors: Dixit A, Freschi L, Vargas R, Gröschel MI, Nakhoul M, Tahseen S, Alam SMM, Kamal SMM, Skrahina A, Basilio RP, Lim DR, Ismail N, Farhat MR.
BMJ Glob Health
View full abstract on Pubmed
Analysis of the limited M. tuberculosis accessory genome reveals potential pitfalls of pan-genome analysis approaches.
Authors: Marin MG, Wippel C, Quinones-Olvera N, Behruznia M, Jeffrey BM, Harris M, Mann BC, Rosenthal A, Jacobson KR, Warren RM, Li H, Meehan CJ, Farhat MR.
bioRxiv
View full abstract on Pubmed
Drug-resistant tuberculosis: a persistent global health concern.
Authors: Farhat M, Cox H, Ghanem M, Denkinger CM, Rodrigues C, Abd El Aziz MS, Enkh-Amgalan H, Vambe D, Ugarte-Gil C, Furin J, Pai M.
Nat Rev Microbiol
View full abstract on Pubmed
Evaluating generalizability of artificial intelligence models for molecular datasets.
Authors: Ektefaie Y, Shen A, Bykova D, Marin M, Zitnik M, Farhat M.
bioRxiv
View full abstract on Pubmed