Machine learning identifies antibiotic resistance genes in tuberculosis-causing bacteria Researchers have trained a machine learning algorithm to identify and predict which genes make infectious bacteria resistant to antibiotics. The approach was tested on strains of Mycobacterium tuberculosis -- the bacteria that cause tuberculosis (TB) in humans. It identified 33 known and 24 new antibiotic resistance genes in these bacteria. The approach could be used to predict resistance in other infection-causing pathogens.
Movement, evolutionary history of tuberculosis in China A genetic scan of a massive number of samples taken from tuberculosis patients across China has shown a surprising genetic uniformity: just two 'strains' of the tuberculosis bacterium account for 99.4 percent of all cases.
