Press Releases

2410, 2018

Groundbreaking publication

October 24th, 2018|

Groundbreaking publication in NEJM on using DNA sequencing for drug resistance prediction in TB. For the first time, our understanding of the genetics is accurate enough to confirm that the 4 first-line drugs (isoniazid, rifampicin,

Media

Meetings and conferences

2804, 2017

38th Annual Congress of the European Society of Mycobacteriology

By | April 28th, 2017|Categories: Meetings and conferences|0 Comments

Ana Gibertoni Cruz and Philip Fowler will be presenting "A bespoke dry broth microdilution panel for susceptibility testing of M. tuberculosis: a validation study" and "BashTheBug.net: A citizen science project helping to classify M. tuberculosis drug susceptibility testing", respectively, at ESM 2017, to take place in Croatia from 25th-28th June.

News

2410, 2018

Groundbreaking publication

By | October 24th, 2018|Categories: Media, News, Press Releases|0 Comments

Groundbreaking publication in NEJM on using DNA sequencing for drug resistance prediction in TB. For the first time, our understanding of the genetics is accurate enough to confirm that the 4 first-line drugs (isoniazid, rifampicin, ethambutol and pyrazinamide) will be effective. See NEJM editorial here and a number of press releases from European Bioinformatics Institute, Oxford Biomedical Research Centre, Genomics England and UK Department of Health.

1109, 2017

BashTheBug wins digital award!

By | September 11th, 2017|Categories: News|0 Comments

The UK's National Institute for Health Research (NIHR) announced that BashTheBug is the winner for the online community category in the "Let’s Get Digital" competition. The award recognises those involved in NIHR research using video, photography, websites, infographics and online communities to promote research. BashTheBug was one of five shortlisted entries, all of which reviewed by an expert panel and subject to a public vote.   Congratulations to Phil Fowler, who leads this project, and thank you to the over 6,000 citizen scientists many volunteers who classified almost 350,000 images in 5 months! For more information, click here.