PubMed COVID-19 Clinical Care

CONCLUSION: COVID-19 is characterized by the emergence of new variants and repeated epidemics. Therefore, it is necessary to analyze the characteristics of critically ill patients to efficiently distribute and manage medical resources.

CONCLUSION: With the exception of older age, the clinical characteristics of patients presenting with acute appendicitis within 21 days of receiving the SARS-CoV-2 vaccination did not differ from those of patients who presented with acute

CONCLUSIONS: These findings suggest that quercetin prevents COV-induced hippocampal damage by enhancing the antioxidant system and preventing cell apoptosis.

Increased time spent together and the lockdown resulting from the COVID-19 pandemic may have created new scenarios for marital conflict. We analyzed how home confinement affects avoidantly attached individuals': (a) resolution strategies to cope with

CONCLUSION: High-sensitivity testing is needed to limit nosocomial spread and identify asymptomatic COVID-19 patients. However, time advantage of the VitaPCR must be weighed against its significantly lower sensitivity, especially when used in high

The Congressional Budget Office estimates that in 2023, 248 million people in the US who are younger than age sixty-five have health insurance coverage (mostly through employment-based plans), and twenty-three million people, or 8.3 percent of that

With the launch of Open AI's GPT-3 model in June 2020 came a new era for conversational chatbots (Open AI, n.d.). While there are chatbots who do not use AI, conversational chatbots integrate AI language models that allow for back-and-forth

CONCLUSION: Health anxiety remained stable, with no significant change observed between the pre-pandemic period and the first 2 years of the COVID-19 pandemic in an adult, working population in Norway.

The founding of Ochsner Ventures followed the natural evolution of more than a decade of growth and expansion of Ochsner Health's offerings and capabilities beyond traditional patient care. This growth has enabled the health system to bring critical

Topic models are a useful and popular method to find latent topics of documents. However, the short and sparse texts in social media micro-blogs such as Twitter are challenging for the most commonly used Latent Dirichlet Allocation (LDA) topic model