PubMed COVID-19 Clinical Care

Multiple clinical and epidemiological studies have shown an interconnection between coronavirus disease 2019 (COVID-19) and diabetes, but experimental evidence is still lacking. Understanding the interplay between them is important because of the

CONCLUSION: This study indicates that meaningful change as measured by standard psychometric questionnaires can occur in PMPs delivered via VCT and appear broadly equivalent to that achieved through in-person delivery. Physical performance outcomes

CONCLUSION: COVID-19 vaccination acceptability and perception among medical students in China is high, most predominantly due to their knowledge of medicine composition formulation. Despite widespread acceptance by the general public and private

The global effects of the COVID-19 pandemic make it of the utmost importance to comprehend its mechanisms and define strategies for the most effective approach possible. The SARS-CoV-2 virus can be responsible for the induction of a hypercoagulable

CONCLUSIONS: Increased methylation of the IFITM1 gene in the severe and critical stage of COVID-19 diseases may indicate the role of SARS-CoV-2 infection in increasing methylation of this antiviral gene. This might be involved in suppressing the

CONCLUSIONS AND RELEVANCE: In a cohort study of matched pairs of counties that reopened with in-person vs virtual instruction at the secondary school level in the 2020 to 2021 academic year, counties with in-person school instructional models early

CONCLUSIONS: The dMOM research outcomes will generate important empirical evidence on the effectiveness of leveraging digital health to address intractable MNCH inequities among EMW in low resource settings in Vietnam, and provide critical

CONCLUSIONS: Limited access to healthcare services by MSM due to COVID-19 lockdown may negatively affect the viral suppression and fuel the spread of HIV, which may reverse the gains toward the control of HIV epidemic. To sustain the gains toward HIV

CONCLUSION: To the best of our knowledge, this is the first online application of its kind that presents a probabilistic assessment of COVID-19 using machine learning models exclusively based on the symptoms and clinical characteristics of users. The

A quantitative systems pharmacology (QSP) model of the pathogenesis and treatment of SARS-CoV-2 infection can streamline and accelerate the development of novel medicines to treat COVID-19. Simulation of clinical trials allows in silico exploration