AIMC Topic: COVID-19
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Molecular modeling of C1-inhibitor as SARS-CoV-2 target identified from the immune signatures of multiple tissues: An integrated bioinformatics study.
Cell biochemistry and function
Dec 14, 2022
The expeditious transmission of the severe acute respiratory coronavirus 2 (SARS-CoV-2), a strain of COVID-19, crumbled the global economic strength and caused a veritable collapse in health infrastructure. The molecular modeling of the novel coronav...
Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review.
Genomics, proteomics & bioinformatics
Dec 14, 2022
Single-cell RNA sequencing (scRNA-seq) has become a routinely used technique to quantify the gene expression profile of thousands of single cells simultaneously. Analysis of scRNA-seq data plays an important role in the study of cell states and pheno...
Clinical Application of Detecting COVID-19 Risks: A Natural Language Processing Approach.
Viruses
Dec 11, 2022
The clinical application of detecting COVID-19 factors is a challenging task. The existing named entity recognition models are usually trained on a limited set of named entities. Besides clinical, the non-clinical factors, such as social determinant ...
Graphic Model of Virtual Teaching Supervision through Fuzzy Logic in Non-University Educational Centers.
International journal of environmental research and public health
Dec 9, 2022
This research analyzes the supervision of non-university virtual training due to the unexpected non-face-to-face teaching scenario caused by COVID-19 with a graphic model using the SULODITOOL instrument. It arises as a research line of the Chair of E...
Image Translation by Ad CycleGAN for COVID-19 X-Ray Images: A New Approach for Controllable GAN.
Sensors (Basel, Switzerland)
Dec 8, 2022
We propose a new generative model named adaptive cycle-consistent generative adversarial network, or Ad CycleGAN to perform image translation between normal and COVID-19 positive chest X-ray images. An independent pre-trained criterion is added to th...
Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray.
IEEE journal of biomedical and health informatics
Dec 7, 2022
Chest X-ray (CXR) is commonly performed as an initial investigation in COVID-19, whose fast and accurate diagnosis is critical. Recently, deep learning has a great potential in detecting people who are suspected to be infected with COVID-19. However,...
Considerations and Challenges for Real-World Deployment of an Acoustic-Based COVID-19 Screening System.
Sensors (Basel, Switzerland)
Dec 6, 2022
Coronavirus disease 2019 (COVID-19) has led to countless deaths and widespread global disruptions. Acoustic-based artificial intelligence (AI) tools could provide a simple, scalable, and prompt method to screen for COVID-19 using easily acquirable ph...
Deep Learning of Dual Plasma Fingerprints for High-Performance Infection Classification.
Small (Weinheim an der Bergstrasse, Germany)
Dec 5, 2022
Infection classification is the key for choosing the proper treatment plans. Early determination of the causative agents is critical for disease control. Host responses analysis can detect variform and sensitive host inflammatory responses to ascerta...
Analyzing factors contributing to COVID-19 mortality in the United States using artificial intelligence techniques.
Risk analysis : an official publication of the Society for Risk Analysis
Dec 4, 2022
Having started since late 2019, COVID-19 has spread through far many nations around the globe. Not being known profoundly, the novel virus of the Coronaviruses family has already caused more than half a million deaths and put the lives of many more p...
Year 2021: COVID-19, Information Extraction and BERTization among the Hottest Topics in Medical Natural Language Processing.
Yearbook of medical informatics
Dec 4, 2022
OBJECTIVES: Analyze the content of publications within the medical natural language processing (NLP) domain in 2021.
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