Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way ...

Many common mental health disorders, including depression and anxiety, are associated with a tendency to internalize problems ...

Using routinely collected baseline data across 11 registries, prediction of remission showed limited discrimination and was best suited to ruling out remission. Performance was similar for a ...

Missing data can derail even the most promising analysis, but modern imputation techniques are transforming this challenge into a solvable problem. From straightforward substitutions to advanced ...

Artificial intelligence is accelerating a shift in financial forecasting, blending traditional accounting principles with machine learning, big data, and predictive analytics to improve accuracy and ...

Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

Background Early identification of patients at risk of heart failure (HF) provides opportunities for preventative management. Though models have been developed to predict HF incidence, their ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...