AIMC Topic: COVID-19
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Deep-AVPpred: Artificial Intelligence Driven Discovery of Peptide Drugs for Viral Infections.
IEEE journal of biomedical and health informatics
Oct 4, 2022
Rapid increase in viral outbreaks has resulted in the spread of viral diseases in diverse species and across geographical boundaries. The zoonotic viral diseases have greatly affected the well-being of humans, and the COVID-19 pandemic is a burning e...
Design and development of hybrid optimization enabled deep learning model for COVID-19 detection with comparative analysis with DCNN, BIAT-GRU, XGBoost.
Computers in biology and medicine
Oct 3, 2022
The recent investigation has started for evaluating the human respiratory sounds, like voice recorded, cough, and breathing from hospital confirmed Covid-19 tools, which differs from healthy person's sound. The cough-based detection of Covid-19 also ...
Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI.
Computers in biology and medicine
Oct 3, 2022
Chest X-ray (CXR) images are considered useful to monitor and investigate a variety of pulmonary disorders such as COVID-19, Pneumonia, and Tuberculosis (TB). With recent technological advancements, such diseases may now be recognized more precisely ...
Dynamic feature learning for COVID-19 segmentation and classification.
Computers in biology and medicine
Sep 30, 2022
Since December 2019, coronavirus SARS-CoV-2 (COVID-19) has rapidly developed into a global epidemic, with millions of patients affected worldwide. As part of the diagnostic pathway, computed tomography (CT) scans are used to help patient management. ...
Development of a deep learning-based quantitative structure-activity relationship model to identify potential inhibitors against the 3C-like protease of SARS-CoV-2.
Future medicinal chemistry
Sep 30, 2022
In the recent COVID-19 pandemic, SARS-CoV-2 infection spread worldwide. The 3C-like protease (3CLpro) is a promising drug target for SARS-CoV-2. We constructed a deep learning-based convolutional neural network-quantitative structure-activity relat...
A Hybrid Model Based on Improved Transformer and Graph Convolutional Network for COVID-19 Forecasting.
International journal of environmental research and public health
Sep 30, 2022
The coronavirus disease 2019 (COVID-19) has spread rapidly around the world since 2020, with a significant fatality rate. Until recently, numerous countries were unable to adequately control the pandemic. As a result, COVID-19 trend prediction has be...
COVID-19 and public support for autonomous technologies-Did the pandemic catalyze a world of robots?
PloS one
Sep 28, 2022
By introducing a novel risk to human interaction, COVID-19 may have galvanized interest in uses of artificial intelligence (AI). But was the pandemic a large enough catalyst to change public attitudes about the costs and benefits of autonomous system...
Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variant.
Cell research
Sep 27, 2022
Point-of-care SARS-CoV-2 sensing using lens-free imaging and a deep learning-assisted quantitative agglutination assay.
Lab on a chip
Sep 27, 2022
The persistence of the global COVID-19 pandemic caused by the SARS-CoV-2 virus has continued to emphasize the need for point-of-care (POC) diagnostic tests for viral diagnosis. The most widely used tests, lateral flow assays used in rapid antigen tes...
Deep learning techniques for detecting and recognizing face masks: A survey.
Frontiers in public health
Sep 26, 2022
The year 2020 brought many changes to the lives of people all over the world with the outbreak of COVID-19; we saw lockdowns for months and deaths of many individuals, which set the world economy back miles. As research was conducted to create vaccin...
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