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

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 ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

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 ...

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/ -- ...

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 ...

Radiomics extracts quantitative data from medical images, but its role in predicting deterioration after traumatic brain ...

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

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 ...