AIMC Topic: Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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An integrated platform for decoding hydrophilic peptide fingerprints of hepatocellular carcinoma using artificial intelligence and two-dimensional nanosheets.
Journal of materials chemistry. B
Aug 7, 2024
Hydrophilic peptides (HPs) play a critical role in the pathogenesis of hepatocellular carcinoma (HCC). However, the comprehensive and in-depth high-throughput analysis of specific changes in HPs associated with HCC remains unrealized, due to the comp...
Machine Learning Assisted MALDI Mass Spectrometry for Rapid Antimicrobial Resistance Prediction in Clinicals.
Analytical chemistry
Aug 3, 2024
Antimicrobial susceptibility testing (AST) plays a critical role in assessing the resistance of individual microbial isolates and determining appropriate antimicrobial therapeutics in a timely manner. However, conventional AST normally takes up to 72...
Modelling the rapid detection of Carbapenemase-resistant Klebsiella pneumoniae based on machine learning and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.
Diagnostic microbiology and infectious disease
Jul 30, 2024
In this study, 80 carbapenem-resistant Klebsiella pneumoniae (CR-KP) and 160 carbapenem-susceptible Klebsiella pneumoniae (CS-KP) strains detected in the clinic were selected and their matrix-assisted laser desorption/ionization time-of-flight mass s...
Collaborative robotics to enable ultra-high-throughput IR-MALDESI.
SLAS technology
Jul 23, 2024
Over the last 5 years, IR-MALDESI-MS (Infrared Matrix-Assisted Laser Desorption Electrospray Ionization Mass Spectrometry) has been demonstrated for use in a range of high-throughput biochemical and cellular assays with remarkable sample acquisition ...
Identification of strains using MALDI-TOF MS combined with long short-term memory neural networks.
Aging
Jun 29, 2024
The current study aims to develop a new technique for the precise identification of strains, utilizing matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) combined with a long short-term memory (LSTM) neural n...
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...
Humans
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Artificial Intelligence
Gram-Negative Bacterial Infections
Machine Learning
Levofloxacin
Drug Resistance, Multiple, Bacterial
Microbial Sensitivity Tests
Anti-Bacterial Agents
Trimethoprim, Sulfamethoxazole Drug Combination
Decision Support Systems, Clinical
Stenotrophomonas maltophilia
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...
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