AIMC Topic: Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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Innovative strategies against superbugs: Developing an AI-CDSS for precise Stenotrophomonas maltophilia treatment.
Journal of global antimicrobial resistance
Jun 22, 2024
OBJECTIVES: The World Health Organization named Stenotrophomonas maltophilia (SM) a critical multi-drug resistant threat, necessitating rapid diagnostic strategies. Traditional culturing methods require up to 96 h, including 72 h for bacterial growth...
Trimethoprim, Sulfamethoxazole Drug Combination
Stenotrophomonas maltophilia
Gram-Negative Bacterial Infections
Levofloxacin
Anti-Bacterial Agents
Microbial Sensitivity Tests
Decision Support Systems, Clinical
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Humans
Drug Resistance, Multiple, Bacterial
Artificial Intelligence
Machine Learning
Machine learning-assisted matrix-assisted laser desorption/ionization time-of-flight mass spectrometry toward rapid classification of milk products.
Journal of dairy science
Jun 20, 2024
This study established a method for rapid classification of milk products by combining MALDI-TOF MS analysis with machine learning techniques. The analysis of 2 different types of milk products was used as an example. To select key variables as poten...
Diagnosis of epilepsy by machine learning of high-performance plasma metabolic fingerprinting.
Talanta
May 28, 2024
Epilepsy is a chronic neurological disorder that causes a major threat to public health and the burden of disease worldwide. High-performance diagnostic tools for epilepsy need to be developed to improve diagnostic accuracy and efficiency while still...
Cutaneous squamous cell carcinoma characterized by MALDI mass spectrometry imaging in combination with machine learning.
Scientific reports
May 15, 2024
Cutaneous squamous cell carcinoma (SCC) is an increasingly prevalent global health concern. Current diagnostic and surgical methods are reliable, but they require considerable resources and do not provide metabolomic insight. Matrix-assisted laser de...
Predicting the age of field mosquitoes using mass spectrometry and deep learning.
Science advances
May 10, 2024
Mosquito-borne diseases like malaria are rising globally, and improved mosquito vector surveillance is needed. Survival of mosquitoes is key for epidemiological monitoring of malaria transmission and evaluation of vector control strategies targeting...
Application of MALDI-TOF MS and machine learning for the detection of SARS-CoV-2 and non-SARS-CoV-2 respiratory infections.
Microbiology spectrum
Mar 18, 2024
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) could aid the diagnosis of acute respiratory infections (ARIs) owing to its affordability and high-throughput capacity. MALDI-TOF MS has been proposed for use...
A Machine Learning-Driven Comparison of Ion Images Obtained by MALDI and MALDI-2 Mass Spectrometry Imaging.
Journal of the American Society for Mass Spectrometry
Feb 26, 2024
Matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) enables label-free imaging of biomolecules in biological tissues. However, many species remain undetected due to their poor ionization efficiencies. MALDI-2 (laser-indu...
Multiscale biochemical mapping of the brain through deep-learning-enhanced high-throughput mass spectrometry.
Nature methods
Feb 16, 2024
Spatial omics technologies can reveal the molecular intricacy of the brain. While mass spectrometry imaging (MSI) provides spatial localization of compounds, comprehensive biochemical profiling at a brain-wide scale in three dimensions by MSI with si...
Protein profile pattern analysis: A multifarious, in vitro diagnosis technique for universal screening.
Journal of chromatography. B, Analytical technologies in the biomedical and life sciences
Dec 1, 2023
Universal health care is attracting increased attention nowadays, because of the large increase in population all over the world, and a similar increase in life expectancy, leading to an increase in the incidence of non-communicable (various cancers,...
Workflow for Evaluating Normalization Tools for Omics Data Using Supervised and Unsupervised Machine Learning.
Journal of the American Society for Mass Spectrometry
Oct 28, 2023
To achieve high quality omics results, systematic variability in mass spectrometry (MS) data must be adequately addressed. Effective data normalization is essential for minimizing this variability. The abundance of approaches and the data-dependent n...
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