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 ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

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

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

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

Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...

Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs ...

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.

A person with advanced heart failure can look stable at a routine clinic visit. Their vitals may not alarm anyone.