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

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

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

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

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

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 ...

This review explores how generative AI, through models like VAEs, GANs, transformers, and diffusion networks is ...

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 ...

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

Artificial intelligence and machine learning are transforming acute respiratory distress syndrome (ARDS) management, enabling ...

A machine learning model developed to predict 5-year survival in stage III colorectal cancer patients highlights key ...