AIMC Topic: Reverse Transcriptase Polymerase Chain Reaction

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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...
Real-Time Polymerase Chain Reaction Reverse Transcriptase Polymerase Chain Reaction Models, Biological COVID-19 Testing Artificial Intelligence COVID-19 Reproducibility of Results SARS-CoV-2 Big Data Humans
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Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data.

Scandinavian journal of trauma, resuscitation and emergency medicine Dec 1, 2020
BACKGROUND: Reverse Transcription-Polymerase Chain Reaction (RT-PCR) for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) diagnosis currently requires quite a long time span. A quicker and more efficient diagnostic tool in emergency depar...
Humans Machine Learning Software Aged COVID-19 Sensitivity and Specificity Retrospective Studies Male Female Middle Aged SARS-CoV-2 Diagnosis, Computer-Assisted Reverse Transcriptase Polymerase Chain Reaction
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Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study.

PloS one Nov 24, 2020
The recent medical applications of deep-learning (DL) algorithms have demonstrated their clinical efficacy in improving speed and accuracy of image interpretation. If the DL algorithm achieves a performance equivalent to that achieved by physicians i...
Republic of Korea Female Reproducibility of Results SARS-CoV-2 Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Deep Learning Humans COVID-19 Retrospective Studies Tomography, X-Ray Computed Reverse Transcriptase Polymerase Chain Reaction Radiography, Thoracic Triage Radiologists Radiographic Image Interpretation, Computer-Assisted Data Accuracy
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The implementation of a rapid sample preparation method for the detection of SARS-CoV-2 in a diagnostic laboratory in South Africa.

PloS one Oct 20, 2020
The SARS-CoV-2 pandemic has resulted in shortages of both critical reagents for nucleic acid purification and highly trained staff as supply chains are strained by high demand, public health measures and frequent quarantining and isolation of staff. ...
Betacoronavirus SARS-CoV-2 Pneumonia, Viral Sensitivity and Specificity Reverse Transcriptase Polymerase Chain Reaction Robotics South Africa RNA, Viral Coronavirus Infections COVID-19 Testing Specimen Handling Humans Laboratories, Hospital Pandemics Clinical Laboratory Techniques COVID-19 Reproducibility of Results
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Automated detection and quantification of COVID-19 pneumonia: CT imaging analysis by a deep learning-based software.

European journal of nuclear medicine and molecular imaging Jul 14, 2020
BACKGROUND: The novel coronavirus disease 2019 (COVID-19) is an emerging worldwide threat to public health. While chest computed tomography (CT) plays an indispensable role in its diagnosis, the quantification and localization of lesions cannot be ac...
SARS-CoV-2 Aged Aged, 80 and over Young Adult Adult Software Pandemics COVID-19 Retrospective Studies Female Child Reverse Transcriptase Polymerase Chain Reaction Coronavirus Infections COVID-19 Testing Linear Models Multidetector Computed Tomography Male Middle Aged Lung Deep Learning Adolescent Humans Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral
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Classification of COVID-19 patients from chest CT images using multi-objective differential evolution-based convolutional neural networks.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology Apr 27, 2020
Early classification of 2019 novel coronavirus disease (COVID-19) is essential for disease cure and control. Compared with reverse-transcription polymerase chain reaction (RT-PCR), chest computed tomography (CT) imaging may be a significantly more tr...
Deep Learning Reverse Transcriptase Polymerase Chain Reaction Coronavirus Infections COVID-19 Testing Image Interpretation, Computer-Assisted False Negative Reactions False Positive Reactions Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral COVID-19 Tomography, X-Ray Computed SARS-CoV-2 Sensitivity and Specificity Lung Humans Neural Networks, Computer Pandemics
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Seeking for potential pathogenic genes of major depressive disorder in the Gene Expression Omnibus database.

Asia-Pacific psychiatry : official journal of the Pacific Rim College of Psychiatrists Dec 30, 2019
INTRODUCTION: Major depressive disorder (MDD) is one of the most common mental disorders worldwide. The aim of this study was to identify potential pathological genes in MDD.
Female Reproducibility of Results Gene Ontology Aged Reverse Transcriptase Polymerase Chain Reaction Male Protein Interaction Maps Middle Aged Computational Biology Depressive Disorder, Major Humans Databases, Genetic Gene Expression
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Global transcriptome analysis reveals relevant effects at environmental concentrations of cypermethrin in honey bees (Apis mellifera).

Environmental pollution (Barking, Essex : 1987) Dec 4, 2019
Cypermethrin is a frequently used insecticide in agriculture and households but its chronic and molecular effects are poorly known are . Here we describe effects of sublethal cypermethrin exposure on the global transcriptome in the brain of honey bee...
Pyrethrins RNA, Messenger Bees Animals Sequence Analysis, RNA Gene Expression Profiling Environmental Pollutants Transcriptome Genetic Markers Reverse Transcriptase Polymerase Chain Reaction Insecticides RNA-Seq
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Identification of Factors for the Preoperative Prediction of Tumour Subtype and Prognosis in Patients with T1 Lung Adenocarcinoma.

Disease markers Dec 26, 2016
Identification of factors that can predict the subtypes of lung adenocarcinoma preoperatively is important for selecting the appropriate surgical procedure and for predicting postoperative survival. We retrospectively evaluated 87 patients with lun...
Lung Neoplasms Humans MicroRNAs Biomarkers, Tumor Prognosis Tomography, X-Ray Computed Neoplasm Staging Male Female Middle Aged RNA, Messenger Carcinoembryonic Antigen Retrospective Studies Aged Real-Time Polymerase Chain Reaction Preoperative Care Adenocarcinoma Aged, 80 and over Reverse Transcriptase Polymerase Chain Reaction Follow-Up Studies Adult Neoplasm Invasiveness Survival Rate
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Deus Ex Machina? Predicting SARS-CoV-2 Infection from Lab Tests Using Machine Learning.

Clinical chemistry Nov 1, 2020
Reverse Transcriptase Polymerase Chain Reaction Coronavirus Infections COVID-19 Testing Programming Languages Laboratories Probability Blood Cell Count Clinical Laboratory Techniques Humans Pandemics Betacoronavirus Machine Learning COVID-19 Pneumonia, Viral Algorithms Electronic Health Records SARS-CoV-2
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