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

Final random-forest-based models outperformed all publicly available risk scores on internal and external test sets.

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

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...

Researchers are using machine learning models to identify gentrification in imagery. Community insights help keep the models ...