When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

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 ...

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

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

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

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Ecuador: A newly developed AI model shows promise in improving the safety of liposuction by accurately predicting patient ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

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 ...