Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

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 ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

Artificial intelligence is racing toward 2026 with a mix of promise and dread, and the scariest predictions are no longer confined to science fiction. From prophetic visions being reinterpreted ...

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...