PubMed COVID-19 Clinical Care

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Insufficient annotated data and minor lung lesions pose big challenges for computed tomography (CT)-aided automatic COVID-19 diagnosis at an early outbreak stage. To address this issue, we propose a Semi-Supervised Tri-Branch Network (SS-TBN). First

CONCLUSION: This study noted that there is a significant impact of COVID-19 on health professionals in terms of their social and mental health aspects. The social impact experienced by health professionals is an important predictor of their mental

CONCLUSION: Our results demonstrate the potential of web data for assessing drug utilization, although the field is still in a nascent period of investigation. Ultimately, social media and internet search data could be used to get a quick preliminary

CONCLUSION: From a biorisk management point of view, EHS was able to confine aerosols at their potential source using simple designs and equipment and adhering to the hierarchy of controls. This article demonstrates how a straightforward design

Type 1 diabetes mellitus (T1DM) and poor glycemic control are risk factors for severe coronavirus disease 2019 (COVID-19). Sotrovimab can treat mild-to-moderate COVID-19 in patients at a high risk of progression to severe COVID-19. However, its

CONCLUSIONS: Results indicate that BT delivered virtually is feasible and amenable to study, and that the impact of BT may be substantial in reducing anxiety and improving mental health. This is the first study of its kind to report clinically

Factors influencing SARS-CoV-2 antibody dynamics, transmission, waning and long COVID-19 symptomatology are still not fully understood. In the Danish section of the Novo Nordisk Group, we performed a prospective seroepidemiological study during the

At the beginning of the COVID-19 pandemic, with a lack of knowledge about the novel virus and a lack of widely available tests, getting first feedback about being infected was not easy. To support all citizens in this respect, we developed the mobile

No abstract