PubMed COVID-19 Clinical Care

Covid-19 infection has more relevant consequences in frail and comorbid patients, but little is known about its course in patients with hematologic malignancies. In this report, we would like to present the case of a patient with multiple myeloma

Introduction This study examined the effect of 10-minute daily meditation app usage for 30 days on adult anxiety and mental well-being during the first year of the COVID-19 pandemic. Methods Participants were randomized into intervention (10 minutes

In this report, we present a series involving critically ill patients with known coronavirus disease (COVID-19) infection where a portable X-ray machine equipped with artificial intelligence (AI) software aided in the urgent radiographic diagnosis of

The Covid-19 pandemic and national movements for health equity have highlighted the impact of trauma on public health as well as on health worker well-being. As burnout rates across healthcare climb, we seek creative and effective solutions. Current

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BACKGROUND: Access to primary care protects the reproductive and non-reproductive health of females. We aimed to quantify health care disparities among "off-reserve" First Nations, Métis and Inuit females, compared with non-Indigenous females of

CONCLUSION: Although the studies were heterogeneous, they indicated that the pandemic-related issues experienced by patients with ADHD were mostly manifested affecting their behavior and sleep patterns.

Extracorporeal membrane oxygenation (ECMO) is a life-support technique used to treat cardiac and pulmonary failure, including severe cases of COVID-19 (coronavirus disease 2019) involving acute respiratory distress syndrome. Blood clot formation in

The COVID-19 pandemic shows a critical need for rapid, inexpensive, and ultrasensitive early detection methods based on biomarker analysis to reduce mortality rates by containing the spread of epidemics. This can be achieved through the electrical

Over the last century, outbreaks and pandemics have occurred with disturbing regularity, necessitating advance preparation and large-scale, coordinated response. Here, we developed a machine learning predictive model of disease severity and length of