PubMed COVID-19 Clinical Care

BACKGROUND: Lung diseases, both infectious and non-infectious, are the most prevalent cause of mortality overall in the world. Medical research has identified pneumonia, lung cancer, and Corona Virus Disease 2019 (COVID-19) as prominent lung diseases

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RATIONALE: The benefits of COVID-19 mRNA vaccination are claimed to be substantial; however, vaccination-related myocarditis and pericarditis have also been observed globally, particularly among young men. In most cases, the symptoms are mild and

The paper examines the health system's response to COVID-19 in Sierra Leone. It aims to explore how the pandemic affected service delivery, health workers, patient access to services, leadership, and governance. It also examines to what extent the

CONCLUSION: The Distance learning (DL) group displayed a positive attitude and perception towards PBL as a learning strategy whereas Face-to-face (FF) group showed greater performance and proficiency in the key PBL parameters scores.

CONCLUSION: It is possible to hold an OSCE even under pandemic conditions. For optimal preparation of the students, among other things, it is necessary to transform teaching contents to a digital curriculum. The combination of an ENT and

The Editor in Chief and the Publisher are issuing an expression of concern to alert readers to the fact that the Special Issue titled "Omics sciences in the personalization of diagnosis and therapy" and, in particular, the following articles: · J

This opinion article addresses a major issue in molecular biology and drug discovery by highlighting the complications that arise from combining polyproteins and their functional products within the same database entry. This problem, exemplified by

CONCLUSION: Our findings suggest that COVID-19 significantly increases the risk of mortality and complications in NVUGIB patients. The observed decrease in early EGD interventions, potentially contributing to higher mortality rates, calls for a

With the emergence of the Omicron variant, the number of pediatric Coronavirus Disease 2019 (COVID-19) cases requiring hospitalization and developing severe or critical illness has significantly increased. Machine learning and multivariate logistic