The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary ...

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 ...

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

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

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

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...

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

The use of machine learning (ML) and artificial intelligence (AI) in power converters represents the latest development in ...

Biochar is widely promoted as a climate friendly soil amendment that can store carbon and improve crop growth. Yet scientists ...

This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green ...