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, ...

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

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

Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.

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

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

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

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

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of agricultural watersheds. To address this need, a team of researchers led by the ...

A machine learning model can accurately predict an individual’s risk of developing hepatocellular carcinoma (HCC) using routine clinical data, according to a new study. The findings point to a ...

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...