AIMC Topic: Drug Resistance, Multiple, Bacterial

Clear Filters Showing 21 to 30 of 50 articles

A deep learning-driven discovery of berberine derivatives as novel antibacterial against multidrug-resistant Helicobacter pylori.

Signal transduction and targeted therapy Jul 8, 2024
Helicobacter pylori (H. pylori) is currently recognized as the primary carcinogenic pathogen associated with gastric tumorigenesis, and its high prevalence and resistance make it difficult to tackle. A graph neural network-based deep learning model, ...
Humans Anti-Bacterial Agents Animals Deep Learning Omeprazole Helicobacter Infections Helicobacter pylori Amoxicillin Berberine Microbial Sensitivity Tests Drug Resistance, Multiple, Bacterial Clarithromycin
View on PubMed DOI

Development and validation of machine learning models to predict MDRO colonization or infection on ICU admission by using electronic health record data.

Antimicrobial resistance and infection control Jul 6, 2024
BACKGROUND: Multidrug-resistant organisms (MDRO) pose a significant threat to public health. Intensive Care Units (ICU), characterized by the extensive use of antimicrobial agents and a high prevalence of bacterial resistance, are hotspots for MDRO p...
Drug Resistance, Multiple, Bacterial ROC Curve Cross Infection Adult Male Humans Middle Aged Machine Learning Intensive Care Units Anti-Bacterial Agents Electronic Health Records Female Aged
View on PubMed DOI

An exploration of descriptive machine learning approaches for antimicrobial resistance: Multidrug resistance patterns in Salmonella enterica.

Preventive veterinary medicine Jul 2, 2024
Salmonellosis is one of the most common foodborne diseases worldwide, with the ability to infect humans and animals. Antimicrobial resistance (AMR) and, particularly, multidrug resistance (MDR) among Salmonella enterica poses a risk to human health. ...
Machine Learning Cattle Diseases United States Salmonella enterica Salmonella Infections, Animal Anti-Bacterial Agents Animals Drug Resistance, Multiple, Bacterial Cattle
View on PubMed DOI

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...
Microbial Sensitivity Tests Drug Resistance, Multiple, Bacterial Decision Support Systems, Clinical Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Artificial Intelligence Machine Learning Anti-Bacterial Agents Gram-Negative Bacterial Infections Levofloxacin Trimethoprim, Sulfamethoxazole Drug Combination Stenotrophomonas maltophilia Humans
View on PubMed DOI

Machine learning algorithms to predict colistin-induced nephrotoxicity from electronic health records in patients with multidrug-resistant Gram-negative infection.

International journal of antimicrobial agents Apr 19, 2024
OBJECTIVES: Colistin-induced nephrotoxicity prolongs hospitalisation and increases mortality. The study aimed to construct machine learning models to predict colistin-induced nephrotoxicity in patients with multidrug-resistant Gram-negative infection...
Adult Male Middle Aged Drug Resistance, Multiple, Bacterial ROC Curve Colistin Gram-Negative Bacterial Infections Retrospective Studies Electronic Health Records Female Aged Machine Learning Algorithms Anti-Bacterial Agents Humans
View on PubMed DOI

Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii.

Nature chemical biology May 25, 2023
Acinetobacter baumannii is a nosocomial Gram-negative pathogen that often displays multidrug resistance. Discovering new antibiotics against A. baumannii has proven challenging through conventional screening approaches. Fortunately, machine learning ...
Anti-Bacterial Agents Animals Deep Learning Microbial Sensitivity Tests Drug Resistance, Multiple, Bacterial Mice Acinetobacter baumannii
View on PubMed DOI

First-line drug resistance profiling of : a machine learning approach.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
The persistence and emergence of new multi-drug resistant Mycobacterium tuberculosis (M. tb) strains continues to advance the devastating tuberculosis (TB) epidemic. Robust systems are needed to accurately and rapidly perform drug-resistance profilin...
Humans Antitubercular Agents Machine Learning Tuberculosis Drug Resistance, Multiple, Bacterial Mycobacterium tuberculosis
View on PubMed

Accurate and rapid prediction of tuberculosis drug resistance from genome sequence data using traditional machine learning algorithms and CNN.

Scientific reports Feb 14, 2022
Effective and timely antibiotic treatment depends on accurate and rapid in silico antimicrobial-resistant (AMR) predictions. Existing statistical rule-based Mycobacterium tuberculosis (MTB) drug resistance prediction methods using bacterial genomic s...
Humans Phenotype Prognosis Phylogeny Deep Learning Microbial Sensitivity Tests Drug Resistance, Multiple, Bacterial Cohort Studies Whole Genome Sequencing Mycobacterium tuberculosis Data Accuracy Genome, Bacterial Mutation Antitubercular Agents Tuberculosis, Multidrug-Resistant
View on PubMed DOI

Machine learning models predicting multidrug resistant urinary tract infections using "DsaaS".

BMC bioinformatics Aug 21, 2020
BACKGROUND: The scope of this work is to build a Machine Learning model able to predict patients risk to contract a multidrug resistant urinary tract infection (MDR UTI) after hospitalization. To achieve this goal, we used different popular Machine L...
Area Under Curve Italy Urinary Tract Infections Models, Biological Drug Resistance, Multiple, Bacterial ROC Curve Female Support Vector Machine Humans Aged Neural Networks, Computer Male Machine Learning Middle Aged Algorithms
View on PubMed DOI

Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis.

Scientific reports Mar 26, 2020
Tuberculosis (TB), an infectious disease caused by Mycobacterium tuberculosis (M.tb), causes highest number of deaths globally for any bacterial disease necessitating novel diagnosis and treatment strategies. High-throughput sequencing methods genera...
Molecular Dynamics Simulation Mycobacterium tuberculosis Artificial Intelligence Genes, Bacterial Machine Learning Humans Genes, MDR Bacterial Proteins Algorithms Mutation Tuberculosis, Multidrug-Resistant Molecular Docking Simulation Drug Resistance, Multiple, Bacterial Polymorphism, Single Nucleotide Bayes Theorem
View on PubMed DOI
Popular Topics
Recent Journals