AIMC Topic: Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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MALDI-TOF MS platform combined with machine learning to establish a model for rapid identification of methicillin-resistant Staphylococcus aureus.
Journal of microbiological methods
Nov 30, 2020
MALDI-TOF MS is an effective potential tool to distinguish between MSSA and MRSA. By combining the ClinProTools3.0 software and manual grouping intervention, we proposed a model optimization method for the first time. The cross validation of the mode...
Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma.
Nature communications
Jul 16, 2020
Early cancer detection greatly increases the chances for successful treatment, but available diagnostics for some tumours, including lung adenocarcinoma (LA), are limited. An ideal early-stage diagnosis of LA for large-scale clinical use must address...
Single-Cell Classification Using Mass Spectrometry through Interpretable Machine Learning.
Analytical chemistry
Jun 25, 2020
The brain consists of organized ensembles of cells that exhibit distinct morphologies, cellular connectivity, and dynamic biochemistries that control the executive functions of an organism. However, the relationships between chemical heterogeneity, c...
Fast Pathogen Identification Using Single-Cell Matrix-Assisted Laser Desorption/Ionization-Aerosol Time-of-Flight Mass Spectrometry Data and Deep Learning Methods.
Analytical chemistry
May 11, 2020
In diagnostics of infectious diseases, matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF MS) can be applied for the identification of pathogenic microorganisms. However, to achieve a trustworthy identification fr...
OffsampleAI: artificial intelligence approach to recognize off-sample mass spectrometry images.
BMC bioinformatics
Apr 3, 2020
BACKGROUND: Imaging mass spectrometry (imaging MS) is an enabling technology for spatial metabolomics of tissue sections with rapidly growing areas of applications in biology and medicine. However, imaging MS data is polluted with off-sample ions cau...
Machine Learning in Mass Spectrometry: A MALDI-TOF MS Approach to Phenotypic Antibacterial Screening.
Journal of medicinal chemistry
Apr 1, 2020
Machine learning techniques can be applied to MALDI-TOF mass spectral data of drug-treated cells to obtain classification models which assign the mechanism of action of drugs. Here, we present an example application of this concept to the screening o...
Machine learning for microbial identification and antimicrobial susceptibility testing on MALDI-TOF mass spectra: a systematic review.
Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
Mar 23, 2020
BACKGROUND: The matrix assisted laser desorption/ionization and time-of-flight mass spectrometry (MALDI-TOF MS) technology has revolutionized the field of microbiology by facilitating precise and rapid species identification. Recently, machine learni...
Detection of carbapenem-resistant Klebsiella pneumoniae on the basis of matrix-assisted laser desorption ionization time-of-flight mass spectrometry by using supervised machine learning approach.
PloS one
Feb 6, 2020
BACKGROUND: Carbapenem-resistant Klebsiella pneumoniae (CRKP) is emerging as a significant pathogen causing healthcare-associated infections. Matrix-assisted laser desorption/ionisation mass spectrometry time-of-flight mass spectrometry (MALDI-TOF MS...
Klebsiella pneumoniae
DNA, Bacterial
Klebsiella Infections
Predictive Value of Tests
Algorithms
Carbapenem-Resistant Enterobacteriaceae
Carbapenems
Supervised Machine Learning
Anti-Bacterial Agents
Cross Infection
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Humans
Microbial Sensitivity Tests
Random Amplified Polymorphic DNA Technique
Fast and Accurate Bacterial Species Identification in Urine Specimens Using LC-MS/MS Mass Spectrometry and Machine Learning.
Molecular & cellular proteomics : MCP
Oct 4, 2019
Fast identification of microbial species in clinical samples is essential to provide an appropriate antibiotherapy to the patient and reduce the prescription of broad-spectrum antimicrobials leading to antibioresistances. MALDI-TOF-MS technology has ...
Unsupervised machine learning using an imaging mass spectrometry dataset automatically reassembles grey and white matter.
Scientific reports
Sep 13, 2019
Current histological and anatomical analysis techniques, including fluorescence in situ hybridisation, immunohistochemistry, immunofluorescence, immunoelectron microscopy and fluorescent fusion protein, have revealed great distribution diversity of m...
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