PubMed COVID-19 Clinical Care

Infection with COVID-19 can cause severe complication in the respiratory system, which may be related to increased respiratory resistance. Computational fluid dynamics(CFD) was used in this study to calculate the airway resistance based on the airway

CONCLUSIONS: The study shade a light that UHC for service coverage, and median age of the national population, population density have significant effect on COVID-19 infection rate while COVID-19 infection rate, median age of the national population

CONCLUSIONS: Common clinical symptoms, laboratory features, and death-related complications of critical and severe COVID-19 patients were found in Vietnamese patients during the fourth wave of the COVID-19 pandemic. The results of this study provide

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SARS-CoV-2 nsp3 is essential for viral replication and host responses. The SARS-unique domain (SUD) of nsp3 exerts its function through binding to viral and host proteins and RNAs. Herein, we show that SARS-CoV-2 SUD is highly flexible in solution

For consent to be fully informed, it must be tailored to each patient, who must be appraised of alternative treatments (including that of no treatment) and informed of the material risks which an individual would wish to know and consider significant

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused over six million deaths in the ongoing COVID-19 pandemic. SARS-CoV-2 uses ACE2 protein to enter human cells, raising a pressing need to characterize proteins/pathways interacted

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CONCLUSIONS: A broad range of AI techniques have been used to predict COVID-19 hospitalization and mortality. The studies reported good prediction performance of AI models, however, high risk of bias and/or concern regarding applicability were