ArticleFrontiers in molecular biosciences2021
Coupling Machine Learning and High Throughput Multiplex Digital PCR Enables Accurate Detection of Carbapenem-Resistant Genes in Clinical Isolates.
Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 35 citations in OpenAlex.
- Digital PCR in forensic genetics: principles, applications, and challenges.International journal of legal medicine · 2026Review
- DYNAMIC: A Novel Software Implementation of a Kinetic Model of TaqMan PCR.Analytical chemistry · 2026Article
- Quantification Revisited: What qPCR Efficiency Models Reveal About Data Analysis Integrity.International journal of molecular sciences · 2026Review
- Smart-Plexer 2.0: Leveraging New Features of Amplification Curves to Enhance the Selection of Multiplex PCR Assays in Multi-Target Identification.Analytical chemistry · 2025Article
- Application of a high-resolution melt assay for monitoring SARS-CoV-2 variants in Burkina Faso and Kenya.mSphere · 2025Article
- Advancing Pathogen Identification: The Role of Digital PCR in Enhancing Diagnostic Power in Different Settings.Diagnostics (Basel, Switzerland) · 2024Review
- Rapid, Portable, and Electricity-free Sample Extraction Method for Enhanced Molecular Diagnostics in Resource-Limited Settings.Analytical chemistry · 2024Article
- A computational framework to improve cross-platform implementation of transcriptomics signatures.EBioMedicine · 2024Review
- Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review.Diagnostics (Basel, Switzerland) · 2024Review
- Carbapenem-resistant Gram-negative bacteria (CR-GNB) in ICUs: resistance genes, therapeutics, and prevention - a comprehensive review.Frontiers in public health · 2024Review
- Smart-Plexer: a breakthrough workflow for hybrid development of multiplex PCR assays.Communications biology · 2023Article
- Next-generation molecular diagnostics: Leveraging digital technologies to enhance multiplexing in real-time PCR.Trends in analytical chemistry : TRAC · 2023Article
- Droplet Encoding-Pairing Enabled Multiplexed Digital Loop-Mediated Isothermal Amplification for Simultaneous Quantitative Detection of Multiple Pathogens.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- A Cross-Validated Feature Selection (CVFS) approach for extracting the most parsimonious feature sets and discovering potential antimicrobial resistance (AMR) biomarkers.Computational and structural biotechnology journal · 2023Article
- Adaptive Filtering Framework to Remove Nonspecific and Low-Efficiency Reactions in Multiplex Digital PCR Based on Sigmoidal Trends.Analytical chemistry · 2022Article
- REASSURED Multiplex Diagnostics: A Critical Review and Forecast.Biosensors · 2022Review
- Single-channel digital LAMP multiplexing using amplification curve analysis.Sensors & diagnostics · 2022Article
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
Abstract
Rapid and accurate identification of patients colonised with carbapenemase-producing organisms (CPOs) is essential to adopt prompt prevention measures to reduce the risk of transmission. Recent studies have demonstrated the ability to combine machine learning (ML) algorithms with real-time digital PCR (dPCR) instruments to increase classification accuracy of multiplex PCR assays when using synthetic DNA templates. We sought to determine if this novel methodology could be applied to improve identification of the five major carbapenem-resistant genes in clinical CPO-isolates, which would represent a leap forward in the use of PCR-based data-driven diagnostics for clinical applications. We collected 253 clinical isolates (including 221 CPO-positive samples) and developed a novel 5-plex PCR assay for detection of bla
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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.