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

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

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

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

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 ...

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.

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

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

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 ...