AIMC Topic:
SARS-CoV-2

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A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics.

Computer methods and programs in biomedicine Feb 7, 2021
BACKGROUND: Mathematical modeling of vector-borne diseases and forecasting of epidemics outbreak are global challenges and big point of concern worldwide. The outbreaks depend on different social and demographic factors based on human mobility struct...
Stochastic Processes Humans Neural Networks, Computer Pandemics COVID-19 SARS-CoV-2 Disease Outbreaks China Models, Statistical
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A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records.

European journal of radiology Feb 5, 2021
PURPOSE: As of August 30th, there were in total 25.1 million confirmed cases and 845 thousand deaths caused by coronavirus disease of 2019 (COVID-19) worldwide. With overwhelming demands on medical resources, patient stratification based on their ris...
Electronic Health Records Humans SARS-CoV-2 Lung COVID-19 Deep Learning Prognosis Tomography, X-Ray Computed
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PACIFIC: a lightweight deep-learning classifier of SARS-CoV-2 and co-infecting RNA viruses.

Scientific reports Feb 5, 2021
Viral co-infections occur in COVID-19 patients, potentially impacting disease progression and severity. However, there is currently no dedicated method to identify viral co-infections in patient RNA-seq data. We developed PACIFIC, a deep-learning alg...
Humans Neural Networks, Computer COVID-19 Sensitivity and Specificity Coronaviridae COVID-19 Testing SARS-CoV-2 Deep Learning Metapneumovirus Orthomyxoviridae RNA-Seq Rhinovirus RNA Viruses Coinfection RNA Virus Infections
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An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study.

Scientific reports Feb 5, 2021
The rampant spread of COVID-19, an infectious disease caused by SARS-CoV-2, all over the world has led to over millions of deaths, and devastated the social, financial and political entities around the world. Without an existing effective medical the...
Protein Conformation Epitopes, B-Lymphocyte Vaccines, Subunit T-Lymphocytes, Cytotoxic Codon Usage Allergens COVID-19 Solubility Models, Molecular SARS-CoV-2 Immunogenicity, Vaccine Mutation Epitopes, T-Lymphocyte T-Lymphocytes, Helper-Inducer RNA, Viral Molecular Docking Simulation Humans Molecular Dynamics Simulation COVID-19 Vaccines Drug Design Spike Glycoprotein, Coronavirus Deep Learning Computational Biology
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Development and validation of a prognostic COVID-19 severity assessment (COSA) score and machine learning models for patient triage at a tertiary hospital.

Journal of translational medicine Feb 5, 2021
BACKGROUND: Clinical risk scores and machine learning models based on routine laboratory values could assist in automated early identification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) patients at risk for severe clinical outcom...
Male Middle Aged Risk Assessment Severity of Illness Index Prognosis Female SARS-CoV-2 Aged Tertiary Care Centers Cohort Studies ROC Curve Triage Area Under Curve Humans Machine Learning COVID-19
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COVID-19 CT Image Synthesis With a Conditional Generative Adversarial Network.

IEEE journal of biomedical and health informatics Feb 5, 2021
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that has spread rapidly since December 2019. Real-time reverse transcription polymerase chain reaction (rRT-PCR) and chest computed tomography (CT) imaging both play an important role ...
Tomography, X-Ray Computed SARS-CoV-2 Lung Deep Learning Radiography, Thoracic Humans COVID-19
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Predicting Potential SARS-COV-2 Drugs-In Depth Drug Database Screening Using Deep Neural Network Framework SSnet, Classical Virtual Screening and Docking.

International journal of molecular sciences Feb 4, 2021
Severe Acute Respiratory Syndrome Corona Virus 2 has altered life on a global scale. A concerted effort from research labs around the world resulted in the identification of potential pharmaceutical treatments for CoVID-19 using existing drugs, as we...
Drug Evaluation, Preclinical COVID-19 Drug Treatment Angiotensin-Converting Enzyme 2 Databases, Pharmaceutical Machine Learning Algorithms Humans Drug Discovery COVID-19 SARS-CoV-2 Neural Networks, Computer Antiviral Agents Molecular Docking Simulation Spike Glycoprotein, Coronavirus Drug Repositioning
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Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs.

International journal of computer assisted radiology and surgery Feb 3, 2021
BACKGROUND: COVID-19 pandemic has currently no vaccines. Thus, the only feasible solution for prevention relies on the detection of COVID-19-positive cases through quick and accurate testing. Since artificial intelligence (AI) offers the powerful mec...
Male Middle Aged Lung Deep Learning COVID-19 Tomography, X-Ray Computed Female SARS-CoV-2 Diagnosis, Differential Pneumonia Humans Artificial Intelligence Pandemics
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Risk factors analysis of COVID-19 patients with ARDS and prediction based on machine learning.

Scientific reports Feb 3, 2021
COVID-19 is a newly emerging infectious disease, which is generally susceptible to human beings and has caused huge losses to people's health. Acute respiratory distress syndrome (ARDS) is one of the common clinical manifestations of severe COVID-19 ...
Humans Machine Learning COVID-19 Female Body Mass Index Respiratory Distress Syndrome Area Under Curve Sex Factors Middle Aged Lymphocyte Count SARS-CoV-2 Comorbidity Severity of Illness Index ROC Curve Risk Factors Adult Male
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Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph.

Computers in biology and medicine Feb 2, 2021
BACKGROUND: Chest X-ray radiography (CXR) has been widely considered as an accessible, feasible, and convenient method to evaluate suspected patients' lung involvement during the COVID-19 pandemic. However, with the escalating number of suspected cas...
COVID-19 Tomography, X-Ray Computed SARS-CoV-2 Diagnosis, Computer-Assisted Humans Diagnosis, Differential Neural Networks, Computer Models, Biological Pandemics
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