PubMed COVID-19 Clinical Care

CONCLUSION: This study could reveal the application and efficacy of CXR and CT scan imaging modalities in predicting ICU admission to a major COVID-19 infection via data mining methods. The findings of this study could help data scientists

Meaningful engagement and partnerships with people who use drugs are essential to conducting research that is relevant and impactful in supporting desired outcomes of drug consumption as well as reducing drug-related harms of overdose and COVID-19

Emotional facial expressions convey crucial information in nonverbal communication and serve as a mediator in face-to-face relationships. Their recognition would rely on specific facial traits depending on the perceived emotion. During the COVID-19

Deuremidevir hydrobromide tablets and simnotrelvir tablets/ritonavir tablets (co-packaged) were approved by the Chinese National Medical Products Administration for the treatment of mild to moderate COVID-19 in January 2023. Both formulations contain

Introduction: Remote patient monitoring (RPM) programs are increasingly common. There is a risk that inequitable use of RPM will perpetuate existing health care disparities. We conducted a study to determine if enrollment in a COVID-19 RPM program

The mechanisms driving SARS-CoV-2 susceptibility remain poorly understood, especially the factors determining why unvaccinated individuals remain uninfected despite high-risk exposures. To understand lipid and metabolite profiles related with COVID

INTRODUCTION: Hospitals generate large amounts of data and this data is generally modeled and labeled in a proprietary way, hampering its exchange and integration. Manually annotating data element names to internationally standardized data element

The COVID-19 pandemic has highlighted the need for increased attention to measures in place to protect the health of incarcerated populations. Correctional facilities saw massive COVID-19 outbreaks and correctional nurses have been at the forefront

CONCLUSIONS: In our study, it was found that the sensitivity of RATs in pediatric patients was lower than in adults. Our results also showed that children are not small adults, and the sensitivity of the test was higher, especially in symptomatic

CONCLUSION: We offer an improved machine learning model and risk score for predicting severe outcomes during changing COVID-19 strain eras. By emphasizing a more clinically precise definition of severe outcomes, the study provides insights for