Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...
UCSF researchers have discovered a way to identify deadly lung infections with improved accuracy by pairing AI with a unique ...
MoneyLion on MSN
The remote gigs that pay at least $60K a year to start
If you want to make a good income, particularly from a low-cost-of-living area, these jobs offer ample opportunity to earn ...
Objectives to describe the evolution of anxiety during the COVID-19 pandemic in France and to assess whether it differed according to pre-existing alcohol misuse. Design A prospective longitudinal ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...
Both H1N1 and COVID-19 spread across the U.S. faster and more unpredictably than early detection systems could keep up.
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Study compares H1N1 and COVID-19 spread across metropolitan areas in the U.S.
Public health researchers at Columbia University Mailman School of Public Health used computer modeling to reconstruct how ...
Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...
San Diego County health officials have launched a new tool to monitor the spread of disease by testing local wastewater for ...
Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Wirecutter Staff No matter how long you’ve used an iPhone, there are always ...
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