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Gene-reading software to cut TB diagnosis from months to minutes

21-Sep-2016

Key points from article :

CRyPTIC aims to speed up the diagnosis and treatment of drug-resistant TB by looking at its genome.

Tuberculosis is a bacterial infection that ranks alongside HIV as the leading cause of death from infectious disease.

Ending the epidemic will mean tackling drug resistance which has risen dramatically in last 10 years.

Resistant bacteria can be defeated with the right cocktail of drugs.

TB genomes being sequenced around the world are fed into a machine learning system at University of Oxford that is being taught what drugs work for particular strains of TB.

Mentioned in this article:

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Marco Schito

Executive Director at Critical Path Institute (C-Path).

Sarah Hoosdally

Project Manager - Modernising Medical Microbiology at University of Oxford.

University of Oxford

Collegiate research university and one of the world's leading universities

Zamin Iqbal

Computational biologist: Pathogens, genomics, genome graphs, antibiotic resistance, global surveillance of bacteria.

Topics mentioned on this page:
Diagnostics