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 ...

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

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

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.

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

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

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

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...