Predictive models are central to AI-driven decision-making, estimating the future behavior of complex systems based on data.

Age, gender, and lifestyle are key factors in predicting risks for illnesses like cancer and heart disease, but adding race ...

While traditional data science practices have paved the way for critical insights and informed decision-making, AI has ...

While the crisis remains, these efforts to address it offer hope. 'Catastrophe models' could bring major change to home ...

Only 61% of hospitals using AI or a predictive model report evaluating for accuracy using local data, and just 44% do so for bias, according to a recent study. Analyses suggest that hospitals with ...

New research shows that slow, silent stress buildup and fault geometry are crucial in triggering earthquakes A new study has ...

Researchers from Stanford and leading institutions introduced the Artificial Intelligence Pricing Model (AIPM), integrating ...

The days of customer data platforms (CDP) simply aggregating information about shoppers and their purchases are long gone, ...

Researchers developed COMET, a deep learning framework that leverages electronic health records and omics data to improve ...