Abstract
Mycobacteria cause a range of diseases including tuberculosis (TB) in both humans and animals. TB is responsible for 1.5 million deaths/year in people and is responsible for huge political and economic costs worldwide in agriculture with bovine TB. The reliable diagnosis of TB is seen as the cornerstone to every approach to controlling and eliminating these infections, however current diagnostics are ill-suited to tackling these infections. Thus, there is a great need for novel methods of detecting TB. Here we aim to develop and evaluate novel technology aimed at diagnosing TB in humans and animals to help better control these mycobacterial infections.
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