Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

A new study has shown that biochar, a carbon-rich material produced from biomass, can significantly reduce phosphorus losses ...

An AI model informed by calculations from a quantum computer can better predict the behavior of a complex physical system ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...

AI-driven interventions reduce the odds of hospitalization within 7 days by 8% in patients with end-stage kidney disease receiving hemodialysis, according to a recent study.

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.