The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary factors contributing to driving under the influence, according to a new analysis ...

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Machine learning algorithms may accurately predict inborn errors of immunity (IEI) in children with persistently low serum IgE.

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

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by York University has found that not only could machine-learning models ...

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

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

Ad fraud is no longer a fringe issue. It is a systemic threat to digital advertising, and its scale demands a technological ...