Discover a study validating the TRIUMPH machine learning model, which improves prediction of post-transplant recurrence in ...

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 ...

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

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

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 ...

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

SeamlessTx is addressing this challenge with a unique platform that integrates large-scale directed evolution and machine ...

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

Learn how AI and machine learning enhance antibody discovery – from structure prediction to binding optimization – with robust data and lab informatics.