AIMC Topic: beta-Lactams

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Use of Machine Learning to Assess the Management of Uncomplicated Urinary Tract Infection.

JAMA network open Jan 2, 2025
IMPORTANCE: Uncomplicated urinary tract infection (UTI) is a common indication for outpatient antimicrobial therapy. National guidelines for the management of uncomplicated UTI were published in 2011, but the extent to which they align with current p...
Anti-Bacterial Agents Retrospective Studies Female Humans Machine Learning Urinary Tract Infections Fluoroquinolones beta-Lactams Aged Adult Middle Aged
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Surface enhanced Raman spectroscopy and machine learning for identification of beta-lactam antibiotics resistance gene fragment in bacterial plasmid.

Analytica chimica acta Aug 16, 2024
BACKGROUND: Antibiotic resistance stands as a critical medical concern, notably evident in commonly prescribed beta-lactam antibiotics. The imperative need for expeditious and precise early detection methods underscores their role in facilitating tim...
Anti-Bacterial Agents Spectrum Analysis, Raman Escherichia coli Machine Learning beta-Lactams beta Lactam Antibiotics Plasmids Surface Properties beta-Lactam Resistance
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Unraveling the impact of therapeutic drug monitoring via machine learning for patients with sepsis.

Cell reports. Medicine Aug 9, 2024
Clinical studies investigating the benefits of beta-lactam therapeutic drug monitoring (TDM) among critically ill patients are hindered by small patient groups, variability between studies, patient heterogeneity, and inadequate use of TDM. Accordingl...
Humans beta-Lactams Aged Male Middle Aged Machine Learning Anti-Bacterial Agents Sepsis Algorithms Critical Illness Drug Monitoring Female Organ Dysfunction Scores
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Optimal use of β-lactams in neonates: machine learning-based clinical decision support system.

EBioMedicine Jun 24, 2024
BACKGROUND: Accurate prediction of the optimal dose for β-lactam antibiotics in neonatal sepsis is challenging. We aimed to evaluate whether a reliable clinical decision support system (CDSS) based on machine learning (ML) can assist clinicians in ma...
Neonatal Sepsis beta-Lactams Machine Learning Algorithms Anti-Bacterial Agents Infant, Newborn Microbial Sensitivity Tests Decision Support Systems, Clinical Humans
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SAF: Smart Aggregation Framework for Revealing Atoms Importance Rank and Improving Prediction Rates in Drug Discovery.

Journal of chemical information and modeling May 2, 2024
Machine learning, and representation learning in particular, has the potential to facilitate drug discovery by screening a large chemical space in silico. A successful approach for representing molecules is to treat them as graphs and utilize graph n...
Drug Discovery beta-Lactams Machine Learning Anti-Bacterial Agents Neural Networks, Computer
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Explainable Deep Learning-Assisted Photochromic Sensor for β-Lactam Antibiotic Identification.

Analytical chemistry Jan 30, 2023
Photochromic sensors have the advantages of diverse isomers for multi-analysis, providing more sensing information and possessing more recognition units and more sensitivity to external stimulations, but they present enormous complexity with various ...
Neural Networks, Computer Algorithms Deep Learning Anti-Bacterial Agents beta-Lactams
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SERS and advanced chemometrics - Utilization of Siamese neural network for picomolar identification of beta-lactam antibiotics resistance gene fragment.

Analytica chimica acta Dec 20, 2021
The enormous development and expansion of antibiotic-resistant bacterial strains impel the intensive search for new methods for fast and reliable detection of antibiotic susceptibility markers. Here, we combined DNA-targeted surface functionalization...
Bayes Theorem Neural Networks, Computer beta-Lactams Chemometrics Anti-Bacterial Agents
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Macrolide combination therapy for patients hospitalised with community-acquired pneumonia? An individualised approach supported by machine learning.

The European respiratory journal Dec 12, 2019
BACKGROUND: The role of macrolide/β-lactam combination therapy in community-acquired pneumonia (CAP) of moderate severity is a matter of debate. Macrolides expand the coverage to atypical pathogens and attenuate pulmonary inflammation, but have been ...
Humans Machine Learning beta-Lactams Hospitalization Europe Macrolides Middle Aged Aged Drug Therapy, Combination Pneumonia, Bacterial Anti-Bacterial Agents Severity of Illness Index Aged, 80 and over Propensity Score Community-Acquired Infections Prospective Studies Female Treatment Outcome Adult Male
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Machine Learning Approach for Determining the Formation of β-Lactam Antibiotic Complexes with Cyclodextrins Using Multispectral Analysis.

Molecules (Basel, Switzerland) Feb 19, 2019
The problem of determining the formation of complexes of β-lactam antibiotics with cyclodextrins (CDs) and the interactions involved in this process were addressed by machine learning on multispectral images. Complexes of β-lactam antibiotics, includ...
beta-Lactams Machine Learning Spectrum Analysis Structure-Activity Relationship Molecular Conformation Models, Molecular Cyclodextrins
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Prediction of β-lactamase and its class by Chou's pseudo-amino acid composition and support vector machine.

Journal of theoretical biology Oct 22, 2014
β-Lactam class of antibiotics is used as major therapeutic agent against a number of pathogenic microbes. The widespread and indiscriminate use of antibiotics to treat bacterial infection has prompted evolution of several evading mechanisms from the ...
Sequence Analysis, Protein Anti-Infective Agents beta-Lactams Amino Acid Sequence Support Vector Machine beta-Lactamases Protein Structure, Secondary
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