PubMed COVID-19 Clinical Care

More than 80% of death cases and 95% of severe COVID-19 occur in patients aged over 60 years. Atypical clinical manifestations with high morbidity and mortality further emphasize the importance of COVID-19 management in older adults. Some older

The COVID-19 pandemic has been highly disruptive for college students and has altered their living, learning, and working environments. COVID-19-related financial impact, access to needed resources, and psychological impacts are reported amongst

The emergence of various social networks has generated vast volumes of data. Efficient methods for capturing, distinguishing, and filtering real and fake news are becoming increasingly important, especially after the outbreak of the COVID-19 pandemic

Despite numerous clinically available vaccines and therapeutics, aged patients remain at increased risk for COVID-19 morbidity. Furthermore, various patient populations, including the aged can have suboptimal responses to SARS-CoV-2 vaccine antigens

CONCLUSION: It is rare for an RCC to metastasize to the skin of the nasal ala region. The tumor size change of this patient before and after treatment with targeted drugs shows the effectiveness of combination therapy for skin metastasis.

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CONCLUSION: Our findings enrich research on the nudge power variation of social information on individuals' donation behaviors along with the pandemic status and its potential psychological influence factors. This study also helps guide organizations

CONCLUSIONS AND RELEVANCE: We found a modest increase in mortality among non-COVID ICU patients during the pandemic compared with a nonpandemic cohort. Future pandemic responses should consider the impact of the pandemic on all patients to preserve

CONCLUSION: The constraints likely affected the time-to-colonoscopy as well as the colonoscopy detection rate without impacting the SAE's occurrence, highlighting the need for a respectable reference time-to-colonoscopy in CRCSP.

INTRODUCTION: This study presents COVID-Twitter-BERT (CT-BERT), a transformer-based model that is pre-trained on a large corpus of COVID-19 related Twitter messages. CT-BERT is specifically designed to be used on COVID-19 content, particularly from