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

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 ...

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 ...

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

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

A software the city of Santa Fe purchased last year that uses machine learning and artificial intelligence technology to ...

Research shows that combining silica fume, fly ash, and manufactured sand in concrete significantly boosts strength and enhances predictive modeling accuracy.

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...

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

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially when considering challenges owing to climate change, urbanization, improper ...

The first act of the current AI boom was defined by prediction. LLMs were trained to predict the next word in a sentence, acting as sophisticated statistical mirrors of the internet. But for the ...

Explore the most accurate 2026 March Madness predictions, expertly crafted by data analysts at Dimers.com after 10,000 ...