AIMC Topic: COVID-19

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Pathological changes or technical artefacts? The problem of the heterogenous databases in COVID-19 CXR image analysis.

Computer methods and programs in biomedicine Jun 19, 2023
BACKGROUND: When the COVID-19 pandemic commenced in 2020, scientists assisted medical specialists with diagnostic algorithm development. One scientific research area related to COVID-19 diagnosis was medical imaging and its potential to support molec...
Artifacts COVID-19 Deep Learning Humans COVID-19 Testing Pandemics
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Modification of a Conventional Deep Learning Model to Classify Simulated Breathing Patterns: A Step toward Real-Time Monitoring of Patients with Respiratory Infectious Diseases.

Sensors (Basel, Switzerland) Jun 15, 2023
The emergence of the global coronavirus pandemic in 2019 (COVID-19 disease) created a need for remote methods to detect and continuously monitor patients with infectious respiratory diseases. Many different devices, including thermometers, pulse oxim...
Deep Learning Respiration COVID-19 Communicable Diseases Humans Neural Networks, Computer
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COV-MobNets: a mobile networks ensemble model for diagnosis of COVID-19 based on chest X-ray images.

BMC medical imaging Jun 15, 2023
BACKGROUND: The medical profession is facing an excessive workload, which has led to the development of various Computer-Aided Diagnosis (CAD) systems as well as Mobile-Aid Diagnosis (MAD) systems. These technologies enhance the speed and accuracy of...
Deep Learning COVID-19 Testing X-Rays COVID-19 SARS-CoV-2 Humans
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PeakDetective: A Semisupervised Deep Learning-Based Approach for Peak Curation in Untargeted Metabolomics.

Analytical chemistry Jun 14, 2023
Peak-detection algorithms currently used to process untargeted metabolomics data were designed to maximize sensitivity at the sacrifice of selectively. Peak lists returned by conventional software tools therefore contain a high density of artifacts t...
Humans Software Deep Learning Metabolomics COVID-19 SARS-CoV-2
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Predicting the antigenic evolution of SARS-COV-2 with deep learning.

Nature communications Jun 13, 2023
The relentless evolution of SARS-CoV-2 poses a significant threat to public health, as it adapts to immune pressure from vaccines and natural infections. Gaining insights into potential antigenic changes is critical but challenging due to the vast se...
Humans Deep Learning SARS-CoV-2 COVID-19 Antibodies, Neutralizing
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HLA-II immunopeptidome profiling and deep learning reveal features of antigenicity to inform antigen discovery.

Immunity Jun 9, 2023
CD4+ T cell responses are exquisitely antigen specific and directed toward peptide epitopes displayed by human leukocyte antigen class II (HLA-II) on antigen-presenting cells. Underrepresentation of diverse alleles in ligand databases and an incomple...
Peptides Deep Learning Captan HLA Antigens SARS-CoV-2 Epitopes, T-Lymphocyte Humans COVID-19
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Explainable COVID-19 Detection Based on Chest X-rays Using an End-to-End RegNet Architecture.

Viruses Jun 6, 2023
COVID-19,which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is one of the worst pandemics in recent history. The identification of patients suspected to be infected with COVID-19 is becoming crucial to reduce its spr...
Pneumonia X-Rays Humans SARS-CoV-2 COVID-19 Deep Learning
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A deep learning predictive model for public health concerns and hesitancy toward the COVID-19 vaccines.

Scientific reports Jun 6, 2023
Throughout the pandemic era, COVID-19 was one of the remarkable unexpected situations over the past few years, but with the decentralization and globalization of efforts and knowledge, a successful vaccine-based control strategy was efficiently desig...
Deep Learning COVID-19 Vaccines COVID-19 Public Health Vaccines Drug-Related Side Effects and Adverse Reactions Vaccination United States Humans
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Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning.

Journal of medical Internet research Jun 6, 2023
BACKGROUND: Shortly after the worst of the COVID-19 pandemic, an outbreak of mpox introduced another critical public health emergency. Like the COVID-19 pandemic, the mpox outbreak was characterized by a rising prevalence of public health misinformat...
Humans COVID-19 Adult Pandemics Health Communication Disease Outbreaks Male Social Media Mpox, Monkeypox Sexual and Gender Minorities Deep Learning Public Health Homosexuality, Male
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Ensemble of deep learning language models to support the creation of living systematic reviews for the COVID-19 literature.

Systematic reviews Jun 5, 2023
BACKGROUND: The COVID-19 pandemic has led to an unprecedented amount of scientific publications, growing at a pace never seen before. Multiple living systematic reviews have been developed to assist professionals with up-to-date and trustworthy healt...
Humans Deep Learning Retrospective Studies Language Pandemics COVID-19
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