Application and perspectives of MALDI–TOF mass spectrometry in clinical microbiology laboratories
E Torres-Sangiao, C Leal Rodriguez, C García-Riestra - Microorganisms, 2021 - mdpi.com
Early diagnosis of severe infections requires of a rapid and reliable diagnosis to initiate
appropriate treatment, while avoiding unnecessary antimicrobial use and reducing …
appropriate treatment, while avoiding unnecessary antimicrobial use and reducing …
MALDI-TOF mass spectrometry in the 21st century clinical microbiology laboratory
M Oviaño, B Rodríguez-Sánchez - Enfermedades infecciosas y …, 2021 - Elsevier
MALDI-TOF mass spectrometry has become a reference method for the routine identification
of bacterial isolates in clinical microbiology laboratories around the world. Its high specificity …
of bacterial isolates in clinical microbiology laboratories around the world. Its high specificity …
ICBM-OCEAN: processing ultrahigh-resolution mass spectrometry data of complex molecular mixtures
Untargeted molecular analyses of complex mixtures are relevant for many fields of research,
including geochemistry, pharmacology, and medicine. Ultrahigh-resolution mass …
including geochemistry, pharmacology, and medicine. Ultrahigh-resolution mass …
Metabolomic tools used in marine natural product drug discovery
KA Stuart, K Welsh, MC Walker… - Expert opinion on drug …, 2020 - Taylor & Francis
Introduction: The marine environment is a very promising resource for natural product
research, with many of these reaching the market as new drugs, especially in the field of …
research, with many of these reaching the market as new drugs, especially in the field of …
Single-cell classification using mass spectrometry through interpretable machine learning
The brain consists of organized ensembles of cells that exhibit distinct morphologies,
cellular connectivity, and dynamic biochemistries that control the executive functions of an …
cellular connectivity, and dynamic biochemistries that control the executive functions of an …
[HTML][HTML] Volatile compounds and protein profiles analyses of fermented cocoa beans and chocolates from different hybrids cultivated in Brazil
IM da Veiga Moreira, L de Figueiredo Vilela… - Food Research …, 2018 - Elsevier
Cocoa beans from different geographical and genetic origins show distinct fermentation
dynamics which result in different chocolate qualities. In order to understand the effects of …
dynamics which result in different chocolate qualities. In order to understand the effects of …
Applications of artificial intelligence in clinical microbiology diagnostic testing
KP Smith, H Wang, TJS Durant, BA Mathison… - Clinical Microbiology …, 2020 - Elsevier
The use of artificial intelligence (AI) computer software to interpret data has become part of
our everyday lives, and these AI algorithms are becoming part of our everyday laboratory …
our everyday lives, and these AI algorithms are becoming part of our everyday laboratory …
Detection of carbapenem-resistant Klebsiella pneumoniae on the basis of matrix-assisted laser desorption ionization time-of-flight mass spectrometry by using …
TS Huang, SSJ Lee, CC Lee, FC Chang - PLoS One, 2020 - journals.plos.org
Background Carbapenem-resistant Klebsiella pneumoniae (CRKP) is emerging as a
significant pathogen causing healthcare-associated infections. Matrix‐assisted laser …
significant pathogen causing healthcare-associated infections. Matrix‐assisted laser …
Novel site-specific PEGylated L-asparaginase
GP Meneguetti, JHPM Santos, KMT Obreque… - PLoS …, 2019 - journals.plos.org
L-asparaginase (ASNase) from Escherichia coli is currently used in some countries in its
PEGylated form (ONCASPAR, pegaspargase) to treat acute lymphoblastic leukemia (ALL) …
PEGylated form (ONCASPAR, pegaspargase) to treat acute lymphoblastic leukemia (ALL) …
[HTML][HTML] Deep metric learning for the classification of MALDI-TOF spectral signatures from multiple species of neotropical disease vectors
Deep Learning techniques have significant advantages for mass spectral classification, such
as parallelized signal correction and feature extraction. Deep Metric Learning models …
as parallelized signal correction and feature extraction. Deep Metric Learning models …