Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...

A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.

The varied topography of the Western United States—a patchwork of valleys and mountains, basins and plateaus—results in minutely localized weather. Accordingly, snowfall forecasts for the mountain ...

A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a match is found with a donor who dies after cardiac arrest following the ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...

This article was originally featured on The Conversation. Machine learning has pushed the boundaries in several fields, including personalized medicine, self-driving cars and customized advertisements ...