PubMed COVID-19 Clinical Care

No abstract

The coronavirus disease 2019 pandemic has drawn attention to many of the inadequacies of the US health-care system. Perhaps, no profession has felt these shortcomings more than nurses. This female-dominated profession has the potential to suffer a

Discussions about potential long-term health consequences of the COVID-19 pandemic on immigrant health and the healthy immigrant effect (HIE) remain unaddressed. Drawing on Canada as a case study, we summarize the primary and secondary impacts of

High surface ozone (O(3)) levels affect human and environmental health. The Fenwei Plain (FWP), one of the critical regions for China's "Blue Sky Protection Campaign", has reported severe O(3) pollution. This study investigates the spatiotemporal

The paper proposes a methodology based on Natural Language Processing (NLP) and Sentiment Analysis (SA) to get insights into sentiments and opinions toward COVID-19 vaccination in Italy. The studied dataset consists of vaccine-related tweets

Bright-field light microscopy and related phase-sensitive techniques play an important role in life sciences because they provide facile and label-free insights into biological specimens. However, lack of three-dimensional imaging and low sensitivity

CONCLUSIONS: Acute reactogenicity and impact of work absenteeism for the four COVID vaccines in the V-Watch survey were mild and of short duration.

Systemic sclerosis (SSc) is a rare multisystem autoimmune disease characterized by fibrosis, vasculopathy, and autoimmunity. There are multiple complications inherent to SSc and its management. One of these complications is increased infection risk

CONCLUSIONS: eLDLT is a reasonable treatment option for patients with AAH, with a survival of 72% in our experience. Infections early on post-LT accounted for mortality, and thus a high index of suspicion of infections and vigorous surveillance, in a

In this paper, a CNN-MLP model (CMM) is proposed for COVID-19 lesion segmentation and severity grading in CT images. The CMM starts by lung segmentation using UNet, and then segmenting the lesion from the lung region using a multi-scale deep