User profiles for Maha Farhat

Maha Farhat

Associate Professor Harvard Medical School
Verified email at partners.org
Cited by 6202

Genomic analysis identifies targets of convergent positive selection in drug-resistant Mycobacterium tuberculosis

MR Farhat, BJ Shapiro, KJ Kieser, R Sultana… - Nature …, 2013 - nature.com
M. tuberculosis is evolving antibiotic resistance, threatening attempts at tuberculosis epidemic
control. Mechanisms of resistance, including genetic changes favored by selection in …

Phylogenetic analysis of SARS-CoV-2 in Boston highlights the impact of superspreading events

…, C Cusick, K Flowers, A Neumann, F Cerrato, M Farhat… - Science, 2021 - science.org
INTRODUCTION We used genomic epidemiology to investigate the introduction and spread
of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the Boston area …

[HTML][HTML] 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

CJ Karvellas, MR Farhat, I Sajjad, SS Mogensen… - Critical care, 2011 - Springer
Introduction Our aim was to investigate the impact of early versus late initiation of renal
replacement therapy (RRT) on clinical outcomes in critically ill patients with acute kidney injury (…

[HTML][HTML] The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis

…, Z Iqbal, M Hunt, L Chindelevitch, MR Farhat… - The Lancet …, 2022 - thelancet.com
Background Molecular diagnostics are considered the most promising route to achievement
of rapid, universal drug susceptibility testing for Mycobacterium tuberculosis complex (MTBC…

Genetic Determinants of Drug Resistance in Mycobacterium tuberculosis and Their Diagnostic Value

MR Farhat, R Sultana, O Iartchouk… - American journal of …, 2016 - atsjournals.org
Rationale: The development of molecular diagnostics that detect both the presence of
Mycobacterium tuberculosis in clinical samples and drug resistance–conferring mutations …

[HTML][HTML] Interpreting Expression Data with Metabolic Flux Models: Predicting Mycobacterium tuberculosis Mycolic Acid Production

…, J Zucker, DS Lun, B Weiner, MR Farhat… - PLoS computational …, 2009 - journals.plos.org
Metabolism is central to cell physiology, and metabolic disturbances play a role in numerous
disease states. Despite its importance, the ability to study metabolism at a global scale …

Whole genome sequencing of Mycobacterium tuberculosis: current standards and open issues

…, A Dippenaar, M Ezewudo, MR Farhat… - NATURE reviews …, 2019 - nature.com
Whole genome sequencing (WGS) of Mycobacterium tuberculosis has rapidly progressed
from a research tool to a clinical application for the diagnosis and management of tuberculosis …

Multimodal learning with graphs

Y Ektefaie, G Dasoulas, A Noori, M Farhat… - Nature Machine …, 2023 - nature.com
Artificial intelligence for graphs has achieved remarkable success in modelling complex
systems, ranging from dynamic networks in biology to interacting particle systems in physics. …

Systematic review of mutations associated with resistance to the new and repurposed Mycobacterium tuberculosis drugs bedaquiline, clofazimine, linezolid …

…, H Zhu, G Theron, CU Köser, M Farhat - Journal of …, 2020 - academic.oup.com
Background Improved genetic understanding of Mycobacterium tuberculosis (MTB)
resistance to novel and repurposed anti-tubercular agents can aid the development of rapid …

Gastrointestinal complications in critically ill patients with and without COVID-19

…, MA Christensen, C Kapoen, LR Maurer, M Farhat… - Jama, 2020 - jamanetwork.com
Methods All patients with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
infection on reverse transcriptase–polymerase chain reaction who were intubated …