Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

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

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...

The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies data fusion to combine physics-based numerical simulations and limited ...

Learn how AI is transforming predictions of drug-induced liver injury and aiding drug development for safer therapeutics.

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

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

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

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...