Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

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 ...

Predicting solar activity is crucial for understanding and mitigating its effects on the heliosphere, particularly with regard to Earth and its surrounding ...

Meadows once teeming with buzzing insects and colorful plants are quietly losing their diversity. But how fast is this change happening and can we detect it before species disappear? A German-Swiss ...