AIMC Topic: Polymerase Chain Reaction

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Combining machine learning and nanopore construction creates an artificial intelligence nanopore for coronavirus detection.

Nature communications Jun 17, 2021
High-throughput, high-accuracy detection of emerging viruses allows for the control of disease outbreaks. Currently, reverse transcription-polymerase chain reaction (RT-PCR) is currently the most-widely used technology to diagnose the presence of SAR...
Nanoparticles Limit of Detection Equipment Design Saliva Nanopores COVID-19 Nucleic Acid Testing Coronavirus 229E, Human Polymerase Chain Reaction Middle East Respiratory Syndrome Coronavirus Machine Learning Software SARS-CoV-2 Sensitivity and Specificity Humans Artificial Intelligence
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Enhancement of protein thermostability by three consecutive mutations using loop-walking method and machine learning.

Scientific reports Jun 4, 2021
We developed a method to improve protein thermostability, "loop-walking method". Three consecutive positions in 12 loops of Burkholderia cepacia lipase were subjected to random mutagenesis to make 12 libraries. Screening allowed us to identify L7 as ...
Mutation Kinetics Molecular Dynamics Simulation Enzyme Stability Plasmids Machine Learning Computational Biology Escherichia coli Proteins Mutagenesis Hydrolases Mutagenesis, Site-Directed Protein Engineering Burkholderia cepacia Lipase Polymerase Chain Reaction Molecular Conformation Hot Temperature
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Prediction of PCR amplification from primer and template sequences using recurrent neural network.

Scientific reports Apr 5, 2021
We have developed a novel method to predict the success of PCR amplification for a specific primer set and DNA template based on the relationship between the primer sequence and the template. To perform the prediction using a recurrent neural network...
Algorithms Reproducibility of Results DNA Primers Computational Biology Base Sequence Neural Networks, Computer Polymerase Chain Reaction Templates, Genetic
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Automated optimization of double heater convective polymerase chain reaction devices based on CFD simulation database and artificial neural network model.

Biomedical microdevices Mar 29, 2021
This paper presents a framework for automated optimization of double-heater convective PCR (DH-cPCR) devices by developing a computational fluid dynamics (CFD) simulation database and artificial neural network (ANN) model. The optimization parameter ...
Neural Networks, Computer Computer Simulation Polymerase Chain Reaction Hydrodynamics
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Domain-Scan: Combinatorial Sero-Diagnosis of Infectious Diseases Using Machine Learning.

Frontiers in immunology Feb 10, 2021
The presence of pathogen-specific antibodies in an individual's blood-sample is used as an indication of previous exposure and infection to that specific pathogen (e.g., virus or bacterium). Measurement of the diagnostic antibodies is routinely achie...
HIV Envelope Protein gp160 Hepatitis C Hepatitis C Antigens Serologic Tests High-Throughput Nucleotide Sequencing Genetic Vectors Peptide Fragments DNA Barcoding, Taxonomic Communicable Diseases Humans HIV Antibodies Epitopes AIDS Serodiagnosis HIV Infections Base Sequence Machine Learning Antigen-Antibody Reactions Amino Acid Sequence Polymerase Chain Reaction Peptide Library DNA, Recombinant Oligonucleotides Hepatitis C Antibodies HIV Core Protein p24
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Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning.

Scientific reports Jan 13, 2021
In this paper, deep learning is coupled with explainable artificial intelligence techniques for the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural network classifier is first trained on 553 sequences from the Nati...
DNA Primers Limit of Detection Polymerase Chain Reaction SARS-CoV-2 Deep Learning
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A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity.

PloS one Sep 22, 2020
Worldwide, testing capacity for SARS-CoV-2 is limited and bottlenecks in the scale up of polymerase chain reaction (PCR-based testing exist. Our aim was to develop and evaluate a machine learning algorithm to diagnose COVID-19 in the inpatient settin...
Aged Adult Middle Aged Mass Screening Coronavirus Infections Los Angeles COVID-19 Testing Inpatients Area Under Curve Pandemics COVID-19 Retrospective Studies SARS-CoV-2 Humans Machine Learning Polymerase Chain Reaction Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral
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Application of machine learning algorithm and modified high resolution DNA melting curve analysis for molecular subtyping of Salmonella isolates from various epidemiological backgrounds in northern Thailand.

World journal of microbiology & biotechnology Jul 2, 2020
Food poisoning from consumption of food contaminated with non-typhoidal Salmonella spp. is a global problem. A modified high resolution DNA melting curve analysis (m-HRMa) was introduced to provide effective discrimination among closely related HRM c...
DNA Fingerprinting Nucleic Acid Denaturation Phylogeny Salmonella Feces Chickens Polymerase Chain Reaction Salmonella Infections Bacterial Typing Techniques Serogroup Serotyping Machine Learning Algorithms Animals Thailand Humans
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Age estimation using bloodstain miRNAs based on massive parallel sequencing and machine learning: A pilot study.

Forensic science international. Genetics Apr 22, 2020
Age estimation is one of the most important components in the practice of forensic science, especially for body fluids or stains at crime scenes. Recent studies have focused on the application of DNA methylation for chronological age determination in...
High-Throughput Nucleotide Sequencing Young Adult Polymerase Chain Reaction Humans Pilot Projects Adult Algorithms Middle Aged Blood Stains Machine Learning MicroRNAs Female Male Gene Expression Profiling Ethnicity Aged Aging
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An interpretation algorithm for molecular diagnosis of bacterial vaginosis in a maternity hospital using machine learning: proof-of-concept study.

Diagnostic microbiology and infectious disease Nov 27, 2019
Allplex Bacterial vaginosis assay (Seegene, South Korea) is a molecular test for bacterial vaginosis (BV). A machine learning algorithm was devised on 200 samples (BV = 23, non-BV = 177) converting 7 identified bacterial strains polymerase chain reac...
Cross Infection Reproducibility of Results Humans Polymerase Chain Reaction Sensitivity and Specificity Machine Learning Proof of Concept Study Molecular Diagnostic Techniques Algorithms Vaginosis, Bacterial Hospitals, Maternity Female
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