PubMed COVID-19 Clinical Care

CONCLUSION: Machine and deep learning methods have been shown to be valuable tools for predicting disease severity, organ dysfunction and failure, patient outcomes, and hospital resource utilization during the COVID-19 pandemic. The discovered

INTRODUCTION: This paper summarizes the safety and immunogenicity data of Influvac Tetra across all age groups starting from 6 months of age, obtained during its clinical development program.

The parasitic nature of the SARS-CoV-2 virus demands selective packaging of its RNA genome (gRNA) from the abundance of other nucleic acids present in infected cells. Despite increasing evidence that stem-loop 4 (SL4) of the gRNA 5' UTR is involved

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This U.S. study explores lessons learned about domestic violence service delivery during the COVID-19 pandemic identified by state, territory, and tribal coalition leadership to advance preparedness and guide structural improvements for future

CONCLUSIONS: The symptom-based COVID-19 predictive score was validated in healthcare settings for its precision and sensitivity. However, an impact study is needed to confirm if this can balance detection and workload for the next COVID-19 surge.

CONCLUSION: The change in the psychotropic drug dispensation profile during the COVID-19 pandemic highlights the need to produce more studies to complete, confirm or rule out this profile and monitor the use of psychotropic drugs by the population in

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COVID-19 pandemic-related traumatic stress (PRTS) symptoms are reported in various populations, but risk factors in older adults with chronic medical conditions, remain understudied. We therefore examined correlates and pre-pandemic predictors of

Dermatology has long been recognized as a highly competitive field within medicine, with extremely limited spots available for aspiring dermatologists to secure residencies across the United States. We sought to evaluate the trends and factors