AI-driven COVID-19 Management

Artificial intelligence (AI) offers a powerful new tool that could potentially be instrumental in controling and managing the SARS-CoV-2 virus. The papers in this feed report on the applications of AI to the current pandemic, which may be able to predict the location of the next outbreak, or facilitate new drug design.

January 16, 2022
Open Access

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data.

NPJ Digital Medicine
Chris K KimHarrison X Bai
January 15, 2022

AI-Based Prediction and Prevention of Psychological and Behavioral Changes in Ex-COVID-19 Patients.

Frontiers in Psychology
Krešimir ĆosićTanja Jovanovic
January 15, 2022

DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug-Target interaction prediction.

Computers in Biology and Medicine
Peiliang ZhangBo Jin
January 14, 2022
Open Access

Algorithmic Fairness and Bias Mitigation for Clinical Machine Learning: Insights from Rapid COVID-19 Diagnosis by Adversarial Learning

MedRxiv : the Preprint Server for Health Sciences
Jenny YangD. A. Clifton
January 14, 2022
Open Access

Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool.

PloS One
Mohanad Alkhodari, Ahsan H Khandoker
January 14, 2022

Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data.

Computers in Biology and Medicine
Mohamed LoeySeyedali Mirjalili
January 14, 2022

ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration.

Computers in Biology and Medicine
Omneya Attallah
January 13, 2022
Open Access

An ensemble prediction model for COVID-19 mortality risk

MedRxiv : the Preprint Server for Health Sciences
Jie LiE. Wang
January 13, 2022

Microestimates of wealth for all low- and middle-income countries.

Proceedings of the National Academy of Sciences of the United States of America
Guanghua ChiJoshua E Blumenstock
January 13, 2022

DeepClassRooms: a deep learning based digital twin framework for on-campus class rooms.

Neural Computing & Applications
Saad RazzaqAlvaro Rocha
January 13, 2022

Influence of mobility restrictions on air quality in the historic center of Cuenca city and its inference on the Covid-19 rate infections.

Materials Today : Proceedings
Néstor Diego Rivera CampoverdeBryan Michael Serrano Ortiz
January 13, 2022

UNAS-Net: A deep convolutional neural network for predicting Covid-19 severity.

Informatics in Medicine Unlocked
Abdusy SyarifMuhamad Asvial
January 13, 2022

COVID-19 disease diagnosis from paper-based ECG trace image data using a novel convolutional neural network model.

Physical and Engineering Sciences in Medicine
Emrah Irmak

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Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

COVID-19 Cardiovascular Complications

Growing evidence shows that COVID-19 can result in serious complications affecting the cardiovascular system, including dysrhythmias, myocarditis, acute myocardial infarction, and heart failure. This feed follows studies investigating the effects of SARS-CoV-2 infection on the heart.

COVID-19 Clinical Diagnosis

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COVID-19 Clinical Management

While most COVID-19 infections cause only mild to moderate symptoms, severely affected patients, such as those presenting with pneumonia, ARDS or septic shock, require hospitalization. This feed focuses on clinical management of patients using oxygen therapy, ventilation, and other treatment strategies, and covers some medical case reports.

COVID-19 Comorbidities

COVID-19 represents a particular challenge to people with serious chronic medical conditions such as diabetes, hypertension, cardiovascular disease, and chronic lung disease. Research into the intersection between comorbidities and COVID-19 is focusing on risks and treatment outcomes for these patients.

COVID-19 Complications

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COVID-19 Covalescent Plasma Therapy

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COVID-19 Epidemiology and Demography

Epidemiological studies play a crucial role in understanding and managing the progression of COVID-19. Research followed in this feed includes studies of transmission dynamics and the change of the basic reproductive number (R) as new pubic health measures take effect.

COVID-19 Immune Response

Understanding the innate and acquired immune response to SARS-CoV-2 is essential for development of COVID-19 therapeutic treatment and design of prophylactic vaccines. This feed surfaces immunological studies, including studies into the cytokine storm that has been observed in severely ill patients.

COVID-19 Immunopathology

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