Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a machine-learning approach could cut years off family reunification efforts by matching ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Investors make predictable mistakes when forecasting earnings and stock returns, but machine learning models avoid them through adaptive learning.

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...