Results 111 to 120 of about 77,428 (296)

The Morphology of the Mycobacteria [PDF]

Journal of Bacteriology, 1935
Janet R. McCarter, E. G. Hastings
openaire   +3 more sources

Interspecific Hybridization among Mycobacteria [PDF]

, 1960
S. E. Juhasz
openalex   +1 more source

Tuberculous Retroperitoneal Lymphadenitis After Kidney Transplantation That Was Difficult to Diagnose and Treat: A Case Report

IJU Case Reports, EarlyView.
ABSTRACT Introduction We present a rare case of tuberculous retroperitoneal lymphadenitis after kidney transplantation that was difficult to diagnose and treat. Case Presentation A 52‐year‐old man who received a kidney transplantation from his wife presented with right lower quadrant pain.
Ryota Nakayasu, Yuki Kita, Yuki Teramoto, Kenji Nakamura, Toru Sakatani, Kimihiko Masui, Takayuki Goto, Ryoichi Saito, Takashi Kobayashi   +8 more
wiley   +1 more source

Mycobacteria in keloid

Lung India, 2011
Shailesh Kumar, S Ambujam, S Uma Devi, Ashish Singh   +3 more
openaire   +3 more sources

Mycobacteria in water [PDF]

Journal of Applied Bacteriology, 1984
John M. Grange, C.H. Collins, M.D. Yates
openaire   +3 more sources

Evaluation of the FluoroType Mycobacteria assay for identification of mycobacteria

Journal of Clinical Microbiology
ABSTRACT Accurate species identification is a prerequisite for successful management of tuberculosis and non-tuberculous mycobacterial (NTM) diseases. The novel FluoroType Mycobacteria assay combines three established GenoType DNA strip assays (CM, AS, and NTM-DR), allowing detection of ...
Luukinen Bruno, Pätäri-Sampo Anu, Luukinen Bruno, Antikainen Jenni, Miikkulainen-Lahti Terhi, Pätäri-Sampo Anu, Luukinen Bruno, Antikainen Jenni, Miikkulainen-Lahti Terhi, Luukinen Bruno, Aittoniemi Janne, Hyyryläinen Hanne-Leena   +11 more
openaire   +2 more sources

Application of Artificial Intelligence in Clinical Microbiology: From Research to Practice

iLABMED, EarlyView.
This paper reviews the application of AI in clinical microbiology practice at home and abroad, including rapid pathogen identification, accurate characterization of microbial resistance patterns, optimization of laboratory workflows, and public health interventions.
Ting Ding, Yi‐Wei Tang, Xiaoke Hao
wiley   +1 more source

ENZYMOLOGY OF MYCOBACTERIA

, 1954
E. A. Zeller, L.S. Van Orden, Walter Vögtli, John C. Lazanas   +3 more
openalex   +1 more source

BIOLOGICAL AND CHEMICAL STUDIES ON MYCOBACTERIA [PDF]

, 1961
G.B. Fregnan, David W. Smith, H. M. Randall   +2 more
openalex   +1 more source

Artificial Intelligence Revolutionizes Anti‐Infective Drug Discovery: From Target Identification to Lead Optimization

iMetaMed, EarlyView.
Artificial intelligence (AI) technology is revolutionizing antimicrobial drug development. In response to increasingly severe antimicrobial resistance challenges, AI can efficiently predict pathogen evolutionary trends, identify potential drug targets, and accelerate compound design and optimization, thereby significantly shortening the development ...
Kexin Li, Quan Yuan, Chang Qi, Ying Shi, Hong Yang, Anqi Lin, Shuofeng Yuan   +6 more
wiley   +1 more source