The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of ...

Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with ...

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached ...

Scientists develop cheap, reusable water filter using BFO nanoparticles for efficient dye removal, reducing cost and carbon ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...