A novel electronic health record-based prediction model successfully identified patients who were at the highest risk of developing type 2 diabetes up to 10 years later. Researchers presented the ...

Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...

Lumo leverages advanced machine learning to reduce calibration time, and flag low-confidence response factor predictions.

Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in children diagnosed with early-life atopic dermatitis, according to a study ...

Sparse early-stage data limits accurate geological risk assessment, increasing the chance of undetected hazards ahead of the TBM. By integrating borehole-derived information through an observation ...

Long-term sickness absence (LTSA) is a significant issue, causing productivity decline, financial difficulties, and increased mental health issues, with mental disorders being the most common cause.

But AI is being used in these fields through techniques that researchers have studied for years and whose strengths and ...

Machine learning is changing the front end of drug discovery, where researchers decide which targets to pursue and which molecules deserve costly laboratory work. Its deeper test lies further ...