Ziad Obermeyer is in the Division of Health Policy and Management, School of Public Health, University of California, Berkeley, Berkeley, California 94720, USA. Read the paper: Efficient and targeted ...

A new approach to vaccines with a machine learning twist could put an end to boosters and seasonal variant shots, according to MIT researchers. This “pan-variant” vaccine would ignore the virus itself ...

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 ...

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 ...

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 ...

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 ...

A single blood sample from a critically ill COVID-19 patient can be analyzed by a machine learning model which uses blood plasma proteins to predict survival, weeks before the outcome, according to a ...

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 ...

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 ...

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.