PubMed COVID-19 Clinical Care

Effectively and accurately predicting the effects of interactions between proteins after amino acid mutations is a key issue for understanding the mechanism of protein function and drug design. In this study, we present a deep graph convolution (DGC)

INTRODUCTION: SARS-CoV-2 has caused over 200 million documented infections, more than 4 million deaths, and unprecedented consequences worldwide. The cycle threshold (Ct), the number of amplification cycles required to obtain a product detectable

CONCLUSION: There were distinctive two groups of critical COVID-19 according to serum IL-6 levels having different degrees of cytokinemia and T-cell responses. Our results indicate that the use of immune modulators should be more tailored in patients

During the COVID-19 pandemic lockdowns made it impossible for parenting coaches to reach the families without digital means of communication. Several studies were initiated to transform existing parenting interventions into hybrid or fully online

CONCLUSIONS AND RELEVANCE: Acute myocarditis affects approximately 4 to 14 per 100 000 people per year. First-line therapy depends on acuity, severity, clinical presentation, and etiology and includes supportive care. While corticosteroids are often

This study aimed to investigate sleep problems during staying at home due to the coronavirus disease 2019 (COVID-19) pandemic and after returning to campus among university nursing students. We analyzed data from self-reported sleep surveys conducted

Did countries that became more repressive of religion during the COVID-19 pandemic, experience more COVID-19 cases and associated fatalities than countries that did not restrict religious freedom? As the pandemic raged across the world, many houses

Background: The COVID-19 pandemic had a significant impact on the Swiss health care system, affecting especially vulnerable people, such as patients suffering from dementia. The purpose of this study was to investigate the challenges experienced by

Automated detecting lung infections from computed tomography (CT) data plays an important role for combating coronavirus 2019 (COVID-19). However, there are still some challenges for developing AI system: 1) most current COVID-19 infection

Background: Since the outset of the COVID-19 pandemic, substantial public attention has focused on the role of seasonality in impacting transmission. Misconceptions have relied on seasonal mediation of respiratory diseases driven solely by