Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

We trained and tested ML systems that predict a deterioration in nine patient-reported symptoms within 30 days after treatments for aerodigestive cancers, using internal electronic health record (EHR) ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts. Sticking to an exercise ...

IAEA launches a new research project on data-driven prediction of structural changes in polymers induced by radiation. The IAEA is inviting research organizations to join a new project that will use ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

The team tested various machine learning algorithms to see which one best weighed the various factors to predict the speed of accurate responses in the flanker test. The researchers tested the ...

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time—a development that could lead to the creation of ...