INTRODUCTION: The rapid and widespread shift to virtual care during COVID-19 created new opportunities and unique challenges for families of children with medical complexity (CMC). However, few studies have examined perceptions of virtual care during
Computationally generating new synthetically accessible compounds with high affinity and low toxicity is a great challenge in drug design. Machine learning models beyond conventional pharmacophoric methods have shown promise in the generation of
CONCLUSION: These findings suggest that the Omicron variant, alongside vaccination and healthcare innovations, led to improved prognoses for HD patients with COVID-19. However, HD patients remain at a greater risk for severe COVID-19. Increased
CONCLUSION: We successfully transformed SIDIAP to the OMOP CDM. From this dataset, a general population cohort of 5.9 million individuals was identified and their COVID-19-related outcomes over time were described. The transformed SIDIAP database is
CONCLUSION: An early warning model based on accessible variates from routine clinical tests to predict the mortality of COVID-19 were conducted. This nomogram can be conveniently used to facilitate identifying patients who might develop severe
CONCLUSION: No matter the symptoms at onset, the clinical course or the response to steroid therapy was identical to ocular MG that we had ever known. Ocular MG caused by COVID-19 vaccine could probably be an iatrogenic life-long disease.
CONCLUSION: Monitoring PTSD symptoms may be vital in supporting mothers with hypertensive disorders of pregnancy in making lifestyle changes to prevent cardiovascular disease.
BACKGROUND: Since the onset of the COVID-19 pandemic, the worldwide prevalence of maternal depression has risen sharply; it is now estimated that one quarter of mothers experience clinically significant depression symptoms. Exposure to maternal