The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

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 ...

PLSKB: An Interactive Knowledge Base to Support Diagnosis, Treatment, and Screening of Lynch Syndrome on the Basis of Precision Oncology We used an innovative machine learning approach to analyze ...

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

A recent study published in npj Materials Degradation introduces a two-stage machine learning (ML) framework that predicts the degradation of protective coatings under various environmental conditions ...

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