Skip to main content arrow_circle_down
Harvard Medical School
The Farhat Lab
Department of Biomedical Informatics, Harvard Medical School
The Farhat Lab
Department of Biomedical Informatics, Harvard Medical School
  • Home
  • About
    • My Biobliography
  • Members
  • Research
    • Events
  • Publications
  • Contact Us
    • Openings

Breadcrumbs

  1. Home chevron_right
  2. News

News

News

Medical Xpress

Which Strains of Tuberculosis Are the Most Infectious? | Harvard Medical School

Headtopics.com

Remdesivir-resistant COVID case sets off few alarms

Study identifies need to improve patient retention in the National TB Elimination Programme, highlights patients’ trust relation

Innovative tools take aim at antibiotic-resistant microbes

Study identifies concerning delays in TB diagnoses in the United States

AI model predicts TB resistance

Big data targets drug resistance

Predicting TB's behavior

Genetic drug-sensitivity tests can predict response to tuberculosis treatment in hours

Resistance Fighters

TB: Genetic drug resistance as good in gauging treatment outcome, death risk as traditional culture-based tests

Molecular tests that detect drug-resistant TB may become faster alternative to traditional testing

 

The Farhat Lab
location_on

Harvard Medical School
Department of Biomedical Informatics
Countway Library of Medicine
10 Shattuck Street, Office 307
Boston, MA 02115

smartphone 617-432-5140
email mrfarhat@partners.org
Admin login
Harvard University
Copyright © 2026 The President and Fellows of Harvard College
Accessibility Digital Accessibility Report Copyright Infringement Info Practices