As public health officials around the world contend with the latest surge of the COVID-19 pandemic, researchers at Drexel University have created a computer model that could help them be better ...
Since the early months of the COVID-19 pandemic, doctors and scientists have been mystified by the occurrence of what’s come to be known as long-haul COVID or simply long COVID, in which individuals ...
Breakthroughs, discoveries, and DIY tips sent every weekday. Terms of Service and Privacy Policy. In 2020 and 2021, COVID-19 became the third leading cause of death ...
University of Queensland researchers have used machine learning to help predict the risk of secondary bacterial infections in hospitalized COVID-19 patients. The machine learning technique can help ...
In a recent study published in Nature Medicine, researchers identified PASC [post-acute sequelae of coronavirus disease 2019 (COVID-19)] sub-phenotypes depending on conditions diagnosed within 1 to 3 ...
Long Covid, with its constellation of symptoms, is proving a challenging moving target for researchers trying to conduct large studies of the syndrome. As they take aim, they’re debating how to ...
A machine learning model trained on known coronaviruses was able to identify new viruses that could be of risk to humans. (Getty Images) An artificial intelligence model has successfully identified ...
Researchers from the Agency for Science, Technology and Research (A*STAR) have successfully used machine learning in a study to improve the filtration effectiveness of Egyptian Cotton (EC) face masks.
Results that may be inaccessible to you are currently showing.
Hide inaccessible results