AIMC Topic:
SARS-CoV-2
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A Novel Strategy for the Development of Vaccines for SARS-CoV-2 (COVID-19) and Other Viruses Using AI and Viral Shell Disorder.
Journal of proteome research
Oct 2, 2020
A model that predicts levels of coronavirus (CoV) respiratory and fecal-oral transmission potentials based on the shell disorder has been built using neural network (artificial intelligence, AI) analysis of the percentage of disorder (PID) in the nuc...
Identification of Risk Factors and Symptoms of COVID-19: Analysis of Biomedical Literature and Social Media Data.
Journal of medical Internet research
Oct 2, 2020
BACKGROUND: In December 2019, the COVID-19 outbreak started in China and rapidly spread around the world. Lack of a vaccine or optimized intervention raised the importance of characterizing risk factors and symptoms for the early identification and s...
Antiviral Agents
Social Media
Humans
Cough
Machine Learning
Fatigue
Headache
SARS-CoV-2
Pandemics
Publications
Oxygen Inhalation Therapy
Coronavirus Infections
COVID-19
Risk Factors
Fever
Myalgia
Data Collection
Retrospective Studies
Disease Outbreaks
Dyspnea
Betacoronavirus
Diarrhea
Pneumonia, Viral
Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19.
European respiratory review : an official journal of the European Respiratory Society
Oct 1, 2020
Artificial intelligence (AI) is transforming healthcare delivery. The digital revolution in medicine and healthcare information is prompting a staggering growth of data intertwined with elements from many digital sources such as genomics, medical ima...
Blockchain in Healthcare: Insights on COVID-19.
International journal of environmental research and public health
Sep 30, 2020
The SARS-CoV2 pandemic has impacted risk management globally. Blockchain has been increasingly applied to healthcare management, as a strategic tool to strengthen operative protocols and to create the proper basis for an efficient and effective evide...
IL6-mediated HCoV-host interactome regulatory network and GO/Pathway enrichment analysis.
PLoS computational biology
Sep 30, 2020
During these days of global emergency for the COVID-19 disease outbreak, there is an urgency to share reliable information able to help worldwide life scientists to get better insights and make sense of the large amount of data currently available. I...
Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approach.
PloS one
Sep 30, 2020
With the novel COVID-19 pandemic disrupting and threatening the lives of millions, researchers and clinicians have been recently conducting clinical trials at an unprecedented rate to learn more about the virus and potential drugs/treatments/vaccines...
Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis.
BMC medical informatics and decision making
Sep 29, 2020
BACKGROUND: The recent Coronavirus Disease 2019 (COVID-19) pandemic has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests.
Diagnosis of Coronavirus Disease 2019 Pneumonia by Using Chest Radiography: Value of Artificial Intelligence.
Radiology
Sep 24, 2020
Background Radiologists are proficient in differentiating between chest radiographs with and without symptoms of pneumonia but have found it more challenging to differentiate coronavirus disease 2019 (COVID-19) pneumonia from non-COVID-19 pneumonia o...
Evolutionary artificial intelligence based peptide discoveries for effective Covid-19 therapeutics.
Biochimica et biophysica acta. Molecular basis of disease
Sep 24, 2020
An epidemic caused by COVID-19 in China turned into pandemic within a short duration affecting countries worldwide. Researchers and companies around the world are working on all the possible strategies to develop a curative or preventive strategy for...
Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms.
International journal of medical informatics
Sep 23, 2020
OBJECTIVE: This study aims to develop and test a new computer-aided diagnosis (CAD) scheme of chest X-ray images to detect coronavirus (COVID-19) infected pneumonia.
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