The Covid-19 pandemic’s early death toll was much higher than the official US count, according to a new study that spotlights ...

For the study, published yesterday in Science Advances, a team led by a Stanford University investigator used machine learning (artificial intelligence) trained on US death certificates to predict ...

Official count may have missed more than 150,000 coronavirus-related fatalities ...

Machine learning reveals unique COVID vaccine immune signatures in people living with HIV, with differences in antibodies, cytokines, and T cell responses.

The U.S. greatly undercounted COVID-19 deaths in the early months of the pandemic, according to a new study. The research, which used machine learning trained on death certificates to look at ...

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 ...

COVID may have killed significantly more people in the U.S. in the first two years of the pandemic than official records ...

The official death toll of covid-19 between 2020 and 2021 was off by nearly 20%, new research finds. Reading time 3 minutes The covid-19 pandemic was perhaps the greatest natural disaster to befall ...

Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.

NEW YORK — The COVID-19 pandemic's early death toll was much higher than the official U.S. count, according to a new study that spotlights dramatic disparities in the uncounted deaths. About 840,000 ...