AIMC Topic:
SARS-CoV-2
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Truncated inception net: COVID-19 outbreak screening using chest X-rays.
Physical and engineering sciences in medicine
Jun 25, 2020
Since December 2019, the Coronavirus Disease (COVID-19) pandemic has caused world-wide turmoil in a short period of time, and the infection, caused by SARS-CoV-2, is spreading rapidly. AI-driven tools are used to identify Coronavirus outbreaks as wel...
Mechanism of baricitinib supports artificial intelligence-predicted testing in COVID-19 patients.
EMBO molecular medicine
Jun 24, 2020
Baricitinib is an oral Janus kinase (JAK)1/JAK2 inhibitor approved for the treatment of rheumatoid arthritis (RA) that was independently predicted, using artificial intelligence (AI) algorithms, to be useful for COVID-19 infection via proposed anti-c...
Liver
Protein Serine-Threonine Kinases
Humans
Drug Repositioning
Leukocytes
Cytokines
Drug Evaluation, Preclinical
Purines
Sulfonamides
Female
Spheroids, Cellular
Coronavirus Infections
SARS-CoV-2
Aged
Intracellular Signaling Peptides and Proteins
Betacoronavirus
COVID-19 Drug Treatment
Artificial Intelligence
Pneumonia, Viral
Pyrazoles
Pandemics
Azetidines
Adult
COVID-19
Protein Kinase Inhibitors
Male
Middle Aged
Antiviral Agents
A Human Support Robot for the Cleaning and Maintenance of Door Handles Using a Deep-Learning Framework.
Sensors (Basel, Switzerland)
Jun 23, 2020
The role of mobile robots for cleaning and sanitation purposes is increasing worldwide. Disinfection and hygiene are two integral parts of any safe indoor environment, and these factors become more critical in COVID-19-like pandemic situations. Door ...
Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays.
Computer methods and programs in biomedicine
Jun 20, 2020
BACKGROUND AND OBJECTIVE: Coronavirus disease (COVID-19) is an infectious disease caused by a new virus never identified before in humans. This virus causes respiratory disease (for instance, flu) with symptoms such as cough, fever and, in severe cas...
Deep Learning
Image Processing, Computer-Assisted
Humans
Radiographic Image Interpretation, Computer-Assisted
Pandemics
Radiography, Thoracic
Neural Networks, Computer
Lung Diseases
COVID-19
X-Rays
Coronavirus Infections
Algorithms
Betacoronavirus
Reproducibility of Results
Pneumonia, Viral
SARS-CoV-2
Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population.
International immunopharmacology
Jun 16, 2020
Since December 2019 the novel coronavirus SARS-CoV-2 has been identified as the cause of the pandemic COVID-19. Early symptoms overlap with other common conditions such as common cold and Influenza, making early screening and diagnosis are crucial go...
Artificial Neural Network Modeling of Novel Coronavirus (COVID-19) Incidence Rates across the Continental United States.
International journal of environmental research and public health
Jun 12, 2020
Prediction of the COVID-19 incidence rate is a matter of global importance, particularly in the United States. As of 4 June 2020, more than 1.8 million confirmed cases and over 108 thousand deaths have been reported in this country. Few studies have ...
CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis.
Scientific data
Jun 12, 2020
The Coronavirus Infectious Disease Ontology (CIDO) is a community-based ontology that supports coronavirus disease knowledge and data standardization, integration, sharing, and analysis.
COVID-19 and the Futures of Machine Learning.
Omics : a journal of integrative biology
Jun 8, 2020
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images.
Computer methods and programs in biomedicine
Jun 5, 2020
BACKGROUND AND OBJECTIVE: The novel Coronavirus also called COVID-19 originated in Wuhan, China in December 2019 and has now spread across the world. It has so far infected around 1.8 million people and claimed approximately 114,698 lives overall. As...
Risk of a second wave of Covid-19 infections: using artificial intelligence to investigate stringency of physical distancing policies in North America.
International orthopaedics
Jun 5, 2020
PURPOSE: Accurately forecasting the occurrence of future covid-19-related cases across relaxed (Sweden) and stringent (USA and Canada) policy contexts has a renewed sense of urgency. Moreover, there is a need for a multidimensional county-level appro...
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