A machine learning model based on electronic health record data can provide updated predictions of preeclampsia risk, ...

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 ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

Researchers develop AI tool to predict patients at risk of intimate partner violence: Bethesda, Maryland Monday, March 16, 2026, 16:00 Hrs [IST] A team of researchers funded by th ...

A multimodal artificial intelligence (AI) model can identify patients at risk of intimate partner violence (IPV) years before ...

AI scenario planning doesn’t attempt to be “right” in the traditional forecasting sense. Its real value lies in systematic ...

The proposed approach reduces computational cost while maintaining high predictive accuracy, making it suitable for large-scale applications JEONBUK-DO, South Korea, March 16, 2026 /PRNewswire/ -- ...

A new way to solve data scarcity: Turning qualitative reports into quantitative data with an LLM.

Accurate stock trend forecasting is a central challenge in financial economics due to the highly nonlinear and interdependent nature of market dynamics. Traditional statistical and machine learning ...