AIMC Topic: Extensively Drug-Resistant Tuberculosis

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Machine learning investigation of tuberculosis with medicine immunity impact.

Diagnostic microbiology and infectious disease Aug 4, 2024
Tuberculosis (T.B.) remains a prominent global cause of health challenges and death, exacerbated by drug-resistant strains such as multidrug-resistant tuberculosis MDR-TB and extensively drug-resistant tuberculosis XDR-TB. For an effective disease ma...
Humans Machine Learning Antitubercular Agents Tuberculosis, Multidrug-Resistant Tuberculosis Mycobacterium tuberculosis Extensively Drug-Resistant Tuberculosis
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Beyond multidrug resistance: Leveraging rare variants with machine and statistical learning models in Mycobacterium tuberculosis resistance prediction.

EBioMedicine Apr 29, 2019
BACKGROUND: The diagnosis of multidrug resistant and extensively drug resistant tuberculosis is a global health priority. Whole genome sequencing of clinical Mycobacterium tuberculosis isolates promises to circumvent the long wait times and limited s...
Humans Machine Learning Prognosis Reproducibility of Results Microbial Sensitivity Tests ROC Curve Genomics Computational Biology Databases, Genetic Cluster Analysis Models, Statistical Evolution, Molecular Antitubercular Agents Tuberculosis, Multidrug-Resistant Genetic Variation Mycobacterium tuberculosis Genome, Bacterial Extensively Drug-Resistant Tuberculosis
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