LLMs that emulate human speech are being used to cost-effectively test assumptions and run pilot studies, producing promising early results. But researchers note that human data remains essential.

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Researchers in China used machine learning to create diagnostic and prognostic models to aid in identifying idiopathic ...

Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...

A global study shows machine learning improves survival predictions for hospitalised cirrhosis patients, outperforming ...

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

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

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

Artificial intelligence and machine learning are transforming acute respiratory distress syndrome (ARDS) management, enabling earlier detection, precision risk stratification, and tailored therapies.

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting diode (OLED) materials used in next-generation display and lighting ...

Training a machine learning model might sound tricky at first, but it’s actually pretty doable when you break it into steps. Whether you’re working with customer info, photos, or trying ...