A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

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 ...

n this study, 773 untreated breast cancer patients from all over China were collected and followed up for at least 5 years. We obtained clinical data from 773 cases, RNA sequencing data from 752 cases ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

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

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

ICU patients’ needs can change rapidly. The AI studies each patient to make personalized nutrition predictions. In A Nutshell ...

As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...