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

AI has revealed why cancer survival differs so dramatically around the world, highlighting the specific health system factors that matter most in each country.

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

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 ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

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

A new research paper shows the approach performs significantly better than the random-walk forecasting method.