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

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

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

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

Cleveland-Cliffs, Inc. is a flat-rolled steel company, which engages in provision of iron ore pellets to the North American steel industry. It focuses on the production of metallic and coke, iron ...