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An exploratory deep learning approach to investigate tuberculosis pathogenesis in nonhuman primate model: Combining automated radiological analysis with clinical and biomarkers data.

Journal of medical primatology 38949157
BACKGROUND: Tuberculosis (TB) kills approximately 1.6 million people yearly despite the fact anti-TB drugs are generally curative. Therefore, TB-case detection and monitoring of therapy, need a comprehensive approach. Automated radiological analysis,...
Animals Biomarkers Deep Learning Disease Models, Animal Female Lung Macaca mulatta Male Monkey Diseases Mycobacterium tuberculosis Tomography, X-Ray Computed Tuberculosis Tuberculosis, Pulmonary
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