PubMed COVID-19 Clinical Care

This study provides an overview of scientific results on the feasibility of using type III interferons against SARS-CoV-2. We have analyzed data obtained from the PubMed electronic database for the period 2020‒2022. The results of our own studies of

BACKGROUND: The COVID-19 pandemic brought rapid and major changes to research, and those wishing to carry out Patient and Public Involvement (PPI) activities faced challenges, such as restrictions on movement and contact, illness, bereavement and

The association between Guillain-Barré Syndrome (GBS) and its variants including Miller Fisher syndrome (MFS) has been reported and debated in the literature. Herein, we are reporting a 59-year-old male patient who had flu-like symptoms for 10 days

This paper applies multiple machine learning (ML) algorithms to a dataset of de-identified COVID-19 patients provided by the COVID-19 Research Database. The dataset consists of 20,878 COVID-positive patients, among which 9,177 patients died in the

Data access limitations have stifled COVID-19 disparity investigations in the United States. Though federal and state legislation permits publicly disseminating de-identified data, methods for de-identification, including a recently proposed dynamic

Infection with SARs-COV-2 results in COVID-19 disease. Between March 2020 and August 2021, 468 COVID-19 patients confirmed by PCR or antigen test, in Yepes, Spain, received early treatment with antihistamines, adding azithromycin in selected cases

Japan's responses to COVID-19 have been conducted based on the Act on the Prevention of Infectious Diseases and Medical Care for Patients with Infectious Diseases (the Infectious Diseases Control Law) and the Act on Special Measures against Novel

The clinical trial industry has encountered challenging circumstances in which the increasing number of trials outpaces the number of trial specialists. For instance, there has been an unprecedented demand for clinical trials following the Covid-19

CONCLUSIONS: HAD is a useful resource to increase the resilience of health systems in cases of stress such as the disease caused by COVID-19. The development and growth of existing units, as well as the creation of new ones where they do not exist

CONCLUSION: We developed a deep learning-based clinical decision support system that could become an efficient concurrent reading tool to assist clinicians, utilising a newly created European dataset including more than 2,800 CT scans.