PubMed COVID-19 Clinical Care

Discovered in China in December 2019, coronavirus disease-19 (COVID-19) has confronted the world with an unprecedented crisis. Healthcare workers, the first line of defense against this pandemic, have been severely affected. Clinical trial results of

CONCLUSION: Our findings introduce a need perspective by emphasizing the impact of speaking a second language on the work-relatedness of voice disorders among teachers. These findings stress the necessity to factor in language and environmental

CONCLUSIONS: This survey highlights the need to increase parental awareness of MIS-C. Future studies should explore how education regarding MIS-C as a complication of SARS-CoV-2 infection could improve understanding of pediatric disease severity and

In this second part of a two-part paper, we intend to demonstrate the impact of the previously proposed advanced quality control pipeline. To understand its benefit and challenge the proposed methodology in a real scenario, we chose to compare the

Background: Despite the lack of evidence supporting the safety and clinical efficacy of herbal medicine (HM), its use among pregnant women continues to increase. Given the high prevalence of contraindicated herbs among the pregnant population in

CONCLUSION: Ensitrelvir (375/125 mg and 750/250 mg tablet formulation) was well tolerated, without any major safety concerns. The pharmacokinetics of ensitrelvir between all populations in the study were similar and C(24) exceeded the target plasma

We measured neutralizing antibodies (nAbs) against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in a cohort of 235 convalescent patients (representing 384 analytic samples). They were followed for up to 588 days after the first report

CONCLUSION: COVID-19 patients had higher risk of developing AKI, experiencing in-hospital mortality, and enduring prolonged hospital/ICU stays in comparison to influenza patients. Additionally, the likelihood of AKI recovery was lower among COVID-19

Katalin Karikó and Drew Weissman overcame a major roadblock to a novel immunization approach.

CONCLUSIONS: The developed BERT model was able to accurately identify COVID-19 cases among GP consultations even preceding confirmed cases. The validated efficacy of our BERT model highlights the potential of NLP models to identify disease outbreaks