이 누리집은 대한민국 공식 전자정부 누리집입니다.
연구사업
연구자원
연구성과
알림자료
연구원 소개
연구사업
연구자원
Artificail intelligence-based radiographic extent analysis to predict tuberculosis treatment outcomes: a multicenter cohort study(Scientific Reports,2024) |
초록보기 |
Molecular analysis of the anti-tuberculosis drug resistance of Mycobacterium tuberculosis isolated in the Republic of Korea(Antibiotics,2023) |
초록보기 |
Whole genome sequencing of Mycobacterium tuberculosis isolated before and after treatment(Microbiology Resource Announcements,2023) |
초록보기 |
Whole genome sequencing of Mycobacterium tuberculosis isolated from three hospitals in south Korea(Microbiology Resource Announcements,2023) |
초록보기 |
First Detection of Mycobacterium tuberculosis Clinical Isolates Harboring I491F
Borderline Resistance rpoB Mutation in Myanmar (Antimicrobial Agents and Chemotherapy,2022) |
초록보기 |
Treatment shortening of drug-sensitive pulmonary tuberculosis using high-dose
rifampicin for 3 months after culture conversion (Hi-DoRi-3): a study protocol for an open-label randomized clinical trial(Trials, 2022) |
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Activation of the SigE-SigB signaling pathway by inhibition of the respiratory
electron transport chain and its effect on rifampicin tolerance in Mycobacterium smegmatis (Journal of Microbiology,2022) |
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Impact of revised definitions for extensively drug-resistant TB on disease classification (International Journal of Tuberculosis and Lung, 2022) |
초록보기 |
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