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

Deciding whether to administer chemotherapy after surgery is one of the most challenging questions in early-stage breast ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

Two University of Montana researchers are using advanced neural networks along with other things to improve climate models to help predict threats to coastal ar ...

Using a form of machine learning called self-supervised learning, Mass General Brigham researchers have created a new predictive artificial intelligence model, which they say could help generate ...

Forecasters with OpenSnow are using new artificial intelligence models to better predict mountainous weather and hazards up ...

Among pediatric patients presenting to the emergency department (ED) with high fevers, pinpointing those at risk for developing sepsis “is akin to looking for a needle in the haystack,” said Elizabeth ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

We've been watching temperatures climb, extreme weather events intensify, and ice sheets shrink. Every weather forecast and climate projection relies on incredibly complex computer simulations that ...

Researchers in Netherlands and Belgium have created a numerical model to simulate the moisture ingress in PV modules. Their research work showed that climate in which a PV module is installed has a ...