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 ...

The U.S. greatly undercounted COVID-19 deaths in the early months of the pandemic, according to a new study. The research, ...

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

A machine learning model applied to US death certificate data estimated that over 155,000 COVID-19 deaths were unrecognized between March 2020 and December 2021, suggesting total mortality was about ...

The COVID-19 pandemic's early death toll was much higher than the official U.S. count, according to a new study that ...

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

Researchers developed a machine learning calculator that provides predictions of whether patients hospitalized with COVID-19 will progress to severe illness or death, according to a March 2 study ...

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common ...