AIMC Topic: Real-Time Polymerase Chain Reaction
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An automated, fully-integrated nucleic acid analyzer based on microfluidic liquid handling robot technique.
Analytica chimica acta
Dec 1, 2022
On-site nucleic acid testing (NAT) plays an important role for disease monitoring and pathogen diagnosis. In this work, we developed an automated and fully-integrated nucleic acid analyzer by combining the automated liquid handling robot technique wi...
A new dynamic deep learning noise elimination method for chip-based real-time PCR.
Analytical and bioanalytical chemistry
Apr 2, 2022
Point-of-care (POC) real-time polymerase chain reaction (PCR) has become one of the most important technologies for many fields such as pathogen detection and water-quality monitoring. POC real-time PCR usually adopts chips with small-volume chambers...
Machine Learning Analysis of MicroRNA Expression Data Reveals Novel Diagnostic Biomarker for Ischemic Stroke.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
May 19, 2021
OBJECTIVES: Ischemic stroke (IS) is one of the leading causes of morbidity and mortality worldwide. Circulating microRNAs have a potential as minimally invasive biomarkers for disease prediction, diagnosis, and prognosis. In this study, we sought to ...
Specificity of SARS-CoV-2 Real-Time PCR Improved by Deep Learning Analysis.
Journal of clinical microbiology
May 19, 2021
Real-time PCR (RT-PCR) is widely used to diagnose human pathogens. RT-PCR data are traditionally analyzed by estimating the threshold cycle ( ) at which the fluorescence signal produced by emission of a probe crosses a baseline level. Current models ...
Anomaly Identification during Polymerase Chain Reaction for Detecting SARS-CoV-2 Using Artificial Intelligence Trained from Simulated Data.
Molecules (Basel, Switzerland)
Dec 23, 2020
Real-time reverse transcription (RT) PCR is the gold standard for detecting Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), owing to its sensitivity and specificity, thereby meeting the demand for the rising number of cases. The scarcit...
Amplification Curve Analysis: Data-Driven Multiplexing Using Real-Time Digital PCR.
Analytical chemistry
Sep 18, 2020
Information about the kinetics of PCR reactions is encoded in the amplification curve. However, in digital PCR (dPCR), this information is typically neglected by collapsing each amplification curve into a binary output (positive/negative). Here, we d...
Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (AI-LAMP) for Rapid Detection of SARS-CoV-2.
Viruses
Sep 1, 2020
Until vaccines and effective therapeutics become available, the practical solution to transit safely out of the current coronavirus disease 19 (CoVID-19) lockdown may include the implementation of an effective testing, tracing and tracking system. Ho...
Betacoronavirus
Pneumonia, Viral
Chlorocebus aethiops
Vero Cells
Clinical Laboratory Techniques
Madin Darby Canine Kidney Cells
Coronavirus Infections
COVID-19 Testing
Sensitivity and Specificity
Animals
Real-Time Polymerase Chain Reaction
RNA, Viral
Dogs
Molecular Diagnostic Techniques
Nucleic Acid Amplification Techniques
Pandemics
Humans
COVID-19
Artificial Intelligence
SARS-CoV-2
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study.
Journal of medical systems
Jul 1, 2020
The COVID-19 pandemia due to the SARS-CoV-2 coronavirus, in its first 4 months since its outbreak, has to date reached more than 200 countries worldwide with more than 2 million confirmed cases (probably a much higher number of infected), and almost ...
Comparison of Xpert MTB/RIF (G4) and Xpert Ultra, including trace readouts, for the diagnosis of pulmonary tuberculosis in a TB and HIV endemic setting.
International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
Apr 2, 2020
BACKGROUND: There are limited data about Xpert-Ultra performance in different settings, in HIV-infected persons, in those with a history of previous TB, and with trace readouts.
Filtering maxRatio results with machine learning models increases quantitative PCR accuracy over the fit point method.
Journal of microbiological methods
Dec 4, 2019
With qPCR reaching thousands of reactions per run, assay validation needs automation. We applied support vector machine to qPCR analysis and we could identify reactions with 100% accuracy, dispensing them from further validation. We achieved a greatl...
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