ReviewFrontiers in molecular biosciences2022
Paving the way for precise diagnostics of antimicrobial resistant bacteria.
Review in Frontiers in molecular biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Computational paradigms for antimicrobial resistance prediction: integrating multi-omics, structural modeling, and foundation artificial intelligence systems.Briefings in bioinformatics · 2026Pooled it
- Artificial Intelligence in Rapid Diagnostics for Antimicrobial Resistance: From Bench to Bedside.Health science reports · 2026Article
- Antimicrobial-resistant Escherichia Coli and Salmonella in poultry production and spread and effect in the one health framework.Poultry science · 2026Review
- Antibiotic Resistance Detection and Concomitant Species Identification of ESKAPE Pathogens by Proteomics.Molecular & cellular proteomics : MCP · 2026Article
- The role of rapid molecular diagnostics in managing bloodstream infections: a microbiological insight.Folia microbiologica · 2026Review
- Molecular insights into antimicrobial resistance in human bacterial pathogens: mechanisms, resistance genes, and translational diagnostic applications.Frontiers in microbiology · 2026Review
- Minimal gene signatures enable high-accuracy prediction of antibiotic resistance in Pseudomonas aeruginosa.NPJ systems biology and applications · 2025Article
- Fighting Antibiotic Resistance: Insights Into Human Barriers and New Opportunities: Antibiotic Resistance Constantly Rises With the Development of Human Activities. We discuss Barriers and Opportunities to Get It Under Control.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025Review
- Antimicrobial Susceptibility ofMicroorganisms · 2025Article
- An explainable machine learning pipeline for prediction of antimicrobial resistance inBioinformatics advances · 2025Article
- Predicting antimicrobial resistance inComputational and structural biotechnology journal · 2024Article
- A global genome dataset for Salmonella Gallinarum recovered between 1920 and 2024.Scientific data · 2024Article
- Advances in Host Depletion and Pathogen Enrichment Methods for Rapid Sequencing-Based Diagnosis of Bloodstream Infection.The Journal of molecular diagnostics : JMD · 2024Review
- Development and evaluation of rapid and accurate one-tube RPA-CRISPR-Cas12b-based detection of mcr-1 and tet(X4).Applied microbiology and biotechnology · 2024Article
- Tackling the Antimicrobial Resistance "Pandemic" with Machine Learning Tools: A Summary of Available Evidence.Microorganisms · 2024Review
- Assessing computational predictions of antimicrobial resistance phenotypes from microbial genomes.Briefings in bioinformatics · 2024Article
- Artificial intelligence in predicting pathogenic microorganisms' antimicrobial resistance: challenges, progress, and prospects.Frontiers in cellular and infection microbiology · 2024Review
- Origin of Antibiotics and Antibiotic Resistance, and Their Impacts on Drug Development: A Narrative Review.Pharmaceuticals (Basel, Switzerland) · 2023Review
- Artificial Intelligence for Antimicrobial Resistance Prediction: Challenges and Opportunities towards Practical Implementation.Antibiotics (Basel, Switzerland) · 2023Review
- Predicting antimicrobial resistance of bacterial pathogens using time series analysis.Frontiers in microbiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The antimicrobial resistance (AMR) crisis from bacterial pathogens is frequently emerging and rapidly disseminated during the sustained antimicrobial exposure in human-dominated communities, posing a compelling threat as one of the biggest challenges in humans. The frequent incidences of some common but untreatable infections unfold the public health catastrophe that antimicrobial-resistant pathogens have outpaced the available countermeasures, now explicitly amplified during the COVID-19 pandemic. Nowadays, biotechnology and machine learning advancements help create more fundamental knowledge of distinct spatiotemporal dynamics in AMR bacterial adaptation and evolutionary processes. Integrated with reliable diagnostic tools and powerful analytic approaches, a collaborative and systematic surveillance platform with high accuracy and predictability should be established and implemented, which is not just for an effective controlling strategy on AMR but also for protecting the longevity of valuable antimicrobials currently and in the future.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.