Routine water quality monitoring already generates large volumes of physicochemical data – turbidity, temperature, dissolved oxygen – but converting that into an early warning for microbial ...

This paper compares the performance of traditional models and machine learning (ML) models for mortgage credit risk ...

Cleveland Clinic and IBM researchers are using quantum computing to tackle one of the most challenging problems in immuno-oncology: predicting which tumor mutations will trigger an immune response.

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...

Combining drone data and machine learning can help cover more ground in monitoring forest soil health, University of Alberta ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...

Clinical outcomes of heart failure in breast cancer patients receiving HER2-directed therapy: A retrospective analysis (2016–2020).

Safe drinking water depends not only on treatment, but also on knowing when harmful microorganisms may be present in source ...

Image courtesy by QUE.com For years, the conversation around artificial intelligence has been dominated by one paradigm: large language ...

An AI framework transforms simulated AFM images into experimental-style data, helping machine learning analyze atomic ...