ArticleSaudi journal of biological sciences2022
Prediction of antimicrobial minimal inhibitory concentrations for
Article in Saudi journal of biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Machine learning models in predicting antimicrobial resistance in gonorrhea: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
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- AI-Prediction ofHealthcare (Basel, Switzerland) · 2025Article
- Antimicrobial minimum inhibitory concentrations can be imputed from phenotypic data using a random forest approach.American journal of veterinary research · 2025Article
- Prediction of inhibitory peptides against E.coli with desired MIC value.Scientific reports · 2025Article
- An ensemble deep learning model for predicting minimum inhibitory concentrations of antimicrobial peptides against pathogenic bacteria.iScience · 2024Article
- Quantitative drug susceptibility testing for Mycobacterium tuberculosis using unassembled sequencing data and machine learning.PLoS computational biology · 2024Article
- Tackling the Antimicrobial Resistance "Pandemic" with Machine Learning Tools: A Summary of Available Evidence.Microorganisms · 2024Review
- Comparative genomics reveals the correlations of stress response genes and bacteriophages in developing antibiotic resistance ofmSystems · 2023Article
- Antibiotic resistance genes prevalence prediction and interpretation in beaches affected by urban wastewater discharge.One health (Amsterdam, Netherlands) · 2023Article
- Artificial Intelligence for Antimicrobial Resistance Prediction: Challenges and Opportunities towards Practical Implementation.Antibiotics (Basel, Switzerland) · 2023Review
- Bioinformatics analysis and prediction of Alzheimer's disease and alcohol dependence based on Ferroptosis-related genes.Frontiers in aging neuroscience · 2023Article
- Predictive model, miRNA-TF network, related subgroup identification and drug prediction of ischemic stroke complicated with mental disorders based on genes related to gut microbiome.Frontiers in neurology · 2023Article
- Schizophrenia and cell senescence candidate genes screening, machine learning, diagnostic models, and drug prediction.Frontiers in psychiatry · 2023Article
- Application of Decision-Tree-Based Machine Learning Algorithms for Prediction of Antimicrobial Resistance.Antibiotics (Basel, Switzerland) · 2022Article
- Machine learning analysis on the impacts of COVID-19 on India's renewable energy transitions and air quality.Environmental science and pollution research international · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The lowest concentration of an antimicrobial agent that can inhibit the visible growth of a microorganism after overnight incubation is called as minimum inhibitory concentration (MIC) and the drug prescriptions are made on the basis of MIC data to ensure successful treatment outcomes. Therefore, reliable antimicrobial susceptibility data is crucial, and it will help clinicians about which drug to prescribe. Although few prediction studies based on strategies have been conducted, however, no single machine learning (ML) modelling has been carried out to predict MICs in
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Registered trials
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