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 prepared for the next one. Using machine learning algorithms, trained to identify correlations between changes in the genetic sequence of the COVID-19 virus and upticks in transmission, hospitalizations and deaths, the model can provide an early warning about the severity of new variants.
Researchers have recently found that several long-lasting human-made contaminants have been building up in Arctic lakes, polar bears and ringed seals and other wildlife. These contaminants belong to a family of chemicals called polyfluoroalkyl and perfluoroalkyl substances (PFAS), […]
Whether you jog to keep fit or compete in marathons, the physically demanding sport of running can deplete the body of essential nutrients. During a race like a half-marathon, a runner’s metabolism — or ability […]
The COVID-19 pandemic has shed light on the precarious living conditions of the elderly in nursing homes in Canada. During the first wave of the pandemic, from March to August 2020, more than 80 per […]