Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

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.

Some kids plan to kill. Can we discover who they are before they do? A program that combines neural and clinical data via ...

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

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 ...

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.