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 19, 2021
Open Access

Smart technologies driven approaches to tackle COVID-19 pandemic: a review

3 Biotech
Hameed KhanKishor Kumar Sadasivuni
January 19, 2021
Open Access

Deep Learning Models for Predicting Severe Progression in COVID-19-infected Patients

JMIR Medical Informatics
Thao Thi HoSanghun Choi
January 21, 2021
Open Access

Deep Learning-Based Four-Region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis

Young-Gon KimQuanzheng Li
January 23, 2021

Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients-a nationwide study.

Journal of the American Medical Informatics Association : JAMIA
Michael RoimiUri Shalit
January 21, 2021
Open Access

A Vital Sign-based Prediction Algorithm for Differentiating COVID-19 Versus Seasonal Influenza in Hospitalized Patients.

MedRxiv : the Preprint Server for Health Sciences
Naveena YanamalaPartho P Sengupta
January 19, 2021
Open Access

Robust Detection of COVID-19 in Cough Sounds: Using Recurrence Dynamics and Variable Markov Model

SN Computer Science
Pauline MouawadShlomo Dubnov
January 22, 2021

Use of Artificial Intelligence to understand adults' thoughts and behaviours relating to COVID-19.

Perspectives in Public Health
S W FlintK Watts
January 20, 2021
Open Access

Forecasting of COVID-19 cases using Deep learning models: Is it reliable and practically significant?

Results in Physics
Jayanthi DevarajEklas Hossain
January 17, 2021
Open Access

On the prediction of isolation, release, and decease states for COVID-19 patients: A case study in South Korea

ISA Transactions
Tarik AlafifAbdulelah Almudhayyani
January 15, 2021
Open Access

Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning

Hammam AlshazlyThomas Martinetz
January 16, 2021
Open Access

Methodology to create 3D models of COVID-19 pathologies for virtual clinical trials

Journal of Medical Imaging
Sunay Rodríguez PérezHilde Bosmans
January 24, 2021

Association of AI quantified COVID-19 chest CT and patient outcome.

International Journal of Computer Assisted Radiology and Surgery
Xi FangPingkun Yan
January 18, 2021
Open Access

Clinically applicable approach for predicting mechanical ventilation in patients with COVID-19

British Journal of Anaesthesia
Nicholas J DouvilleMilo Engoren
January 16, 2021

Distant Domain Transfer Learning for Medical Imaging

IEEE Journal of Biomedical and Health Informatics
Shuteng NiuHoubing Song
January 21, 2021
Open Access

Design of Specific Primer Sets for the Detection of B.1.1.7, B.1.351 and P.1 SARS-CoV-2 Variants using Deep Learning

BioRxiv : the Preprint Server for Biology
Alejandro Lopez-RinconA. D. Kraneveld

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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

COVID-19 patients typically present with high fever and a persistent cough. This feed focuses on clinical diagnosis, including RT-PCR testing for the presence of SARS-CoV-2 and radiographic assessment of lungs.

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

A growing number of complications associated with COVID-19 has been identified. This feed focuses primarily on cardiovascular and respiratory manifestations in severely ill patients.

COVID-19 Covalescent Plasma Therapy

Convalescent plasma therapy, where passive polyclonal antibody obtained from recovered patients are used to provide immediate immunity, has been tested in respiratory infections such as the 2009-2010 H1N1 influenza virus pandemic and the 2003 SARS-CoV-1 epidemic. This feed follows ongoing research efforts and clinical trials exploring covalescent plasma therapy as a potential treatment strategy for COVID-19.

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

The research highlighted in this feed investigates the immunopathology seen in severely ill COVID-19 patients, which often resembles the cytokine storm syndrome: uncontrolled immune activation generates excessive release of cytokines, resulting in hyperinflammation and multi-organ disease.

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