AIMC Topic:
SARS-CoV-2

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Viral pandemic preparedness: A pluripotent stem cell-based machine-learning platform for simulating SARS-CoV-2 infection to enable drug discovery and repurposing.

Stem cells translational medicine Sep 22, 2020
Infection with the SARS-CoV-2 virus has rapidly become a global pandemic for which we were not prepared. Several clinical trials using previously approved drugs and drug combinations are urgently under way to improve the current situation. A vaccine ...
Alveolar Epithelial Cells COVID-19 Drug Treatment Drug Industry Genome, Viral Pluripotent Stem Cells Drug Discovery Humans Disease Outbreaks Machine Learning Genotype Drug Repositioning Pandemics Computer Simulation SARS-CoV-2 Lung
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CT scan AI-aided triage for patients with COVID-19 in China.

The Lancet. Digital health Sep 22, 2020
Humans Pandemics COVID-19 Retrospective Studies Tomography, X-Ray Computed SARS-CoV-2 Deep Learning China Triage
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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...
Mass Screening Humans Inpatients Machine Learning SARS-CoV-2 COVID-19 Testing Area Under Curve Pandemics Aged Coronavirus Infections Polymerase Chain Reaction COVID-19 Adult Los Angeles Clinical Laboratory Techniques Retrospective Studies Middle Aged Betacoronavirus Pneumonia, Viral
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COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images.

Interdisciplinary sciences, computational life sciences Sep 21, 2020
The novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a major pandemic outbreak recently. Various diagnostic technologies have been under active development. The novel coronavirus disease (COVID-19) may induce ...
Coronavirus Infections Reference Values COVID-19 Testing Datasets as Topic X-Rays Deep Learning Pneumonia Radiography Models, Biological Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Coronavirus Humans Neural Networks, Computer Machine Learning Pandemics COVID-19 Algorithms Databases, Factual Tomography, X-Ray Computed SARS-CoV-2 Lung
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Predictions of coronavirus COVID-19 distinct cases in Pakistan through an artificial neural network.

Epidemiology and infection Sep 21, 2020
This study presents the main motivation to investigate the COVID-19 pandemic, a major threat to the whole world from the day when it first emerged in China city of Wuhan. Predictions on the number of cases of COVID-19 are crucial in order to prevent ...
Neural Networks, Computer Pandemics COVID-19 Forecasting SARS-CoV-2 Humans Coronavirus Infections Pakistan Betacoronavirus Pneumonia, Viral
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Bioethical aspects of artificial intelligence: COVID-19 & end of life.

Revista da Associacao Medica Brasileira (1992) Sep 21, 2020
Terminal Care Coronavirus Infections Bioethical Issues Betacoronavirus Pneumonia, Viral Delivery of Health Care Precision Medicine Clinical Decision-Making SARS-CoV-2 Public Health Humans Artificial Intelligence Pandemics COVID-19
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Artificial Intelligence ECG to Detect Left Ventricular Dysfunction in COVID-19: A Case Series.

Mayo Clinic proceedings Sep 19, 2020
Coronavirus disease 2019 (COVID-19) can result in deterioration of cardiac function, which is associated with high mortality. A simple point-of-care diagnostic test to screen for ventricular dysfunction would be clinically useful to guide management....
Feasibility Studies Coronavirus Infections Ventricular Dysfunction, Left Betacoronavirus Pneumonia, Viral Humans Artificial Intelligence Pandemics COVID-19 Adult Retrospective Studies Male Female Echocardiography SARS-CoV-2 Middle Aged Aged Electrocardiography Aged, 80 and over
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Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients.

European radiology Sep 18, 2020
OBJECTIVE: To evaluate whether the initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19.
Italy Neurodegenerative Diseases Coronary Artery Disease Sex Factors Tomography, X-Ray Computed Proportional Hazards Models Humans Intensive Care Units Severity of Illness Index Artificial Intelligence Female Deep Learning COVID-19 SARS-CoV-2 Age Factors Prognosis Hospitalization Radiography Retrospective Studies Aged Emergency Service, Hospital Radiography, Thoracic Pulmonary Disease, Chronic Obstructive Mortality Male Middle Aged Comorbidity
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Artificial intelligence in COVID-19 drug repurposing.

The Lancet. Digital health Sep 18, 2020
Drug repurposing or repositioning is a technique whereby existing drugs are used to treat emerging and challenging diseases, including COVID-19. Drug repurposing has become a promising approach because of the opportunity for reduced development timel...
Treatment Outcome Drug Repositioning COVID-19 Drug Treatment Drug Therapy, Combination Artificial Intelligence Algorithms SARS-CoV-2 Humans Drug Discovery Antiviral Agents
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Exploring the growth of COVID-19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning.

Transboundary and emerging diseases Sep 17, 2020
The coronavirus disease 2019 (COVID-19) pandemic spread by the single-stranded RNA severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) belongs to the seventh generation of the coronavirus family. Following an unusual replication mechanism, i...
COVID-19 SARS-CoV-2 Animals Models, Biological Communicable Disease Control Humans Machine Learning Pandemics
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