Influenza forecasting may be enhanced using AI/ML models that identify and integrate key attributes of existing influenza ...

A machine learning-based model can predict 30-day in-hospital mortality among patients with asthma in the ICU.

The XGBoost-based approach demonstrated robust external validation across multiple centers, supporting clinical adoption to guide personalized treatment decisions.

Machine learning (ML) is not only reshaping the tech industry but also making significant strides in environmental studies, particularly in understanding glacier erosion. This innovative intersection ...

ML enhances decision-making in digital banking by processing vast amounts of structured and unstructured data at scale. Key ...

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

AI Promptly Hired unveils a subscription-based model that delivers top AI and machine learning talent to businesses in 72 ...

Machine Learning-based weather models have the potential to revolutionise global seasonal forecasting, according to new Met ...

An impartial look at the debate between artificial intelligence and scientific calibration methods in environmental ...