PubMed COVID-19 Clinical Care

High levels of ADAM17 activity have emerged as an important mediator in severe COVID-19. This study aims to characterize eventual causal relationships between ADAM17 and COVID-19. Using Mendelian randomization analyses, we examined the causal effects

Over the past two decades there have been major advances in the development of interventions promoting mental health and well-being in low- and middle-income countries (LMIC), including delivery of care by non-specialist providers, incorporation of

CONCLUSION: Our study demonstrates that male gender, heart failure, arrhythmias and valvular disease carry higher hazards of 30-day and 90-day cardiovascular readmissions. Identifying risk factors and common causes of readmission may assist with

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CONTEXT: With the wide application of deep learning in drug research and development, de novo molecular design methods based on recurrent neural network (RNN) have strong advantages in drug molecule generation. The RNN model can be used to learn the

CONCLUSIONS: Women are more likely to experience WPV and to report more psychosomatic symptoms after the event. Preventive measures are urgently needed, with a special focus on high-risk groups such as women.

The COVID-19 pandemic has emphasized the urgency for rapid public health surveillance methods to detect and monitor the transmission of infectious diseases. The wastewater-based epidemiology (WBE) has emerged as a promising tool for proactive

Bat-borne viruses have attracted considerable research, especially in relation to the Covid-19 pandemic. Although bats can carry multiple zoonotic viruses that are lethal to many mammalian species, they appear to be asymptomatic to viral infection

CONCLUSION: The incidence of OM decreased significantly following international lockdowns due to the COVID-19 pandemic, with antibiotic prescriptions for OM episodes showing a corresponding decrease. Despite these reductions, numbers of tympanostomy

CONCLUSION: This study demonstrates the power of combinatorial analytics for stratifying heterogeneous populations in complex diseases that do not have simple monogenic etiologies. These results build upon the genetic findings from combinatorial