PubMed COVID-19 Clinical Care

With humans, animals and the environment being as interconnected as they are, the science describing their interactions needs to cut across disciplinary boundaries. Systems research at the interface between the three goes by several names, such as

The novel coronavirus infectious disease (COVID-19) pandemic has negatively impacted not only our physical health but also mental health, including increasing depressive and anxiety symptoms. In particular, socially and physically vulnerable

Objective; Newborns are vulnerable to all types of infections due to their developing immune systems. To compensate for their immune immaturity, newborns rely on the passive transfer of antibodies through the placenta and own mother's breast milk (BM

On March 16, 2020, the Director-General of the World Health Organization said: "We have a simple message to all countries-test, test, test." This seems like sound advice, but what if limiting the number of tests has a positive effect on infection

Background The COVID-19 pandemic has adversely affected medical education and training programs worldwide. Early investigations have shown that surgical residents face a lot of challenges in these unprecedented times. This study aims to assess the

CONCLUSION: This study showed that if the seven policies (i.e., vaccination, limiting gatherings, social distancing, wearing a mask, job closure, travel restriction, and personal hygiene) are followed simultaneously in the community, the risk of

CONCLUSIONS: This study will represent the first evaluation of the immunological efficacy and safety of AA30CH in an RCT, which may significantly impact the use of homeopathy as an evidence-based medicine approach.

We introduce a generative model for synthesis of large scale 3D datasets for quantitative parameter mapping of myelin water fraction (MWF). Our model combines a MR physics signal decay model with an accurate probabilistic multi-component parametric

CONCLUSIONS: Levels of IL-6 and troponin I are associated with poor COVID-19 outcomes. Cut-off values capable of predicting in-hospital mortality and ICU admission have been identified. Building a predictive model using a machine-learning approach

CONCLUSIONS: Neutrophil, Lymphocyte and MCHC blood test samples can be used as a biomarker in the effective fight against COVID-19.