Background The increasing global burden of long-term illnesses necessitates high-quality data to inform effective interventions, particularly in low-resource settings. Despite the critical role of ...

Despite clear data quality and regulatory advantages, paper-based clinical outcome assessments persist due to cost asymmetry, ...

Do algorithms used by social-media platforms amplify posts that are emotive, toxic, political or perceived as moralizing? And, if they do, does that affect how users see their social world? William ...

The next frontier of business intelligence belongs to deeply embedded, self-learning AI systems that understand an entire ...

Ethiopian communities are cheaply filling destructive gullies with soil, stones and branches and replanting them to stop ...

Launched this winter, the Data-Driven Plant Science course bridges experimental biology with embedded sensing, bioinformatics, and machine learning.

Discover how NASA's hurricane hunter and college students are revolutionizing urban atmospheric research over Houston's skies ...

UMSL computer science students in Sharlee Climer’s biological data science course analyze genetic data and network models to ...

AI-powered thinking microscopes can analyze data, test hypotheses, and refine experiments, accelerating breakthroughs across science and healthcare.

Theory?  What does that have to do with the work done by law enforcement? Theory is fundamentally defined as a concept that ...

DNA samples taken from a wide variety of animal sources can pinpoint hotspots of the illegal wildlife trade, utilizing a new technique.

Introduction Complications from induced abortion are an avoidable cause of maternal morbidity and mortality. A nationally ...