Mingxiang Huang

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Mycobacterium tuberculosis is one of most prevalent pathogens in the world. Drug-resistant strains of this pathogen caused by the excessive use of antibiotics have long posed serious threats to public health worldwide. A broader picture of drug resistance mechanisms at the genomic level can be obtained only with large-scale comparative genomic methodology.(More)
To treat nontuberculous mycobacteria (NTM) infections more optimally, further research pertaining to mycobacterial susceptibility to antimicrobial agents is required. A total of 82 species of NTM reference strains and 23 species of NTM clinical isolates were included. Minimum inhibitory concentrations (MICs) for 41 drugs were determined using the(More)
BACKGROUND Mycobacterium avium is frequently isolated from clinical samples, while the bacteriological features of M. avium clinical isolates from China have never been well defined. METHODS A total of 50 M. avium isolates were recruited from two tertiary tuberculosis designated hospitals, one located in Beijing whereas another in Fujian Province, which(More)
A Bayesian network (BN) model was developed to predict susceptibility to PWD(Pine Wilt Disease). The distribution of PWD was identified using QuickBird and unmanned aerial vehicle (UAV) images taken at different times. Seven factors that influence the distribution of PWD were extracted from the QuickBird images and were used as the independent variables.(More)