PubMed COVID-19 Clinical Care

Machine learning (ML)-driven computable phenotypes are among the most challenging to share and reproduce. Despite this difficulty, the urgent public health considerations around Long COVID make it especially important to ensure the rigor and

CONCLUSIONS: The standard of care for definitive treatment of TS is tracheal resection and end-to-end anastomosis. Literature shows a high success rate (83-97%) and low mortality (0-5%) following surgery in specialized centers with experience

CONCLUSION: The effects of healthcare disruptions on the welfare of children with chronic conditions (and their families), are well evidenced in this work, providing deeper understandings of the relationships between these children, their families

No abstract

CONCLUSIONS: Persistent SARS-CoV-2 viral shedding in blood, high corticosteroid dose from the onset of symptoms to ICU admission, slow recovery of lymphocyte counts, and high levels of fibrinogen degradation products after admission were associated

CONCLUSIONS: At the 2017 and 2018 SGO Annual Meetings 57% of podium presentations were published in a peer-reviewed journal within 3 years. Publication in peer-reviewed journals is crucial for timely distribution of clinical information to the

CONCLUSIONS: cIgG failed to reach the primary non-inferiority endpoint on day 14 but was superior to CP on day 28. Survival and improvement by day 28 in unvaccinated patients treated with cIgG were better. In the face of new variants, cIgG is a

The physical structure of cities is the result of self-organization processes in which profit-maximizing developers are key players. The recent Covid-19 pandemic was a natural experiment by means of which it is possible to gain insights into shifts

This paper analyzes the media frames adopted by the official WeChat and Sina Weibo accounts of the People's Daily between January 1 and December 31, 2020, for reports about female medical personnel involved in pandemic prevention and control

COVID-19 outbreak prediction is a challenging and complicated problem in a vast dataset. Several communities have proposed various methods to predict the COVID-19-positive cases. However, conventional techniques remain drawbacks to predicting the