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

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

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

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

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, ...

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 ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...

New AGI lab aims to revolutionize machine learning with symbolic models, moving beyond traditional deep learning.

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 ...