New research reveals that simply living through the COVID-19 pandemic — regardless of infection — has measurably aged our ...

UK National Institute for Health Research used a machine learning model trained on 15,334 UK Biobank brain scans to chart the ...

Article Title Host transcriptomics and machine learning for secondary bacterial infections in patients with COVID-19: a prospective, observational cohort study ...

AI has become a critical tool in diagnosing and managing viral infections such as influenza, respiratory syncytial virus (RSV ...

Stress, isolation, and uncertainty appear to have caused the brain to age quicker for those who lived through the crisis.

Just living through the early months of the pandemic was enough to accelerate brain aging, according to new findings.

Machine learning reveals unique mental health struggles among healthcare workers during the COVID-19 pandemic, highlighting the urgent need for specialized support. The study analyzed therapy ...

A new data analysis, published in Vaccine has found that women and menstruating people who had one or more mRNA-based ...

"Using a machine-learning system to recognize complex patterns in large numbers of people with COVID-19 enabled another team of Johns Hopkins Medicine researchers in 2021 to predict the course of ...

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 ...