In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

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

"Life's Always Bursts the Boundaries of Formulas" - Antoine de Saint-Exupery The post Here Mosaic Meets the Edge of The ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

"Nia Therapeutics publishes first in vivo validation of SNS" was originally created and published by Medical Device Network, ...

The U.S. Army created a new AI and machine learning officer career field, launching initial selections through VTIP in 2026.

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a urine-based biological aging clock. In validation of the method, predicted ...