Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

In a study published in npj Digital Medicine, a team of researchers led by the University of Michigan developed a machine learning model that identified 17 environmental and social factors that can ...

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

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 ...

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...

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

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 ...

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

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...