Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

Latin America and Oceania emerge as the most exposed regions, with many nations lacking detection and containment capacity, ...

Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...

Artificial intelligence is quietly transforming how scientists monitor and manage invisible biological pollutants in rivers, lakes, and coastal ...

The digital microscope uses AI algorithms to analyse samples of silkworms and cocoons, identifying early signs of infection ...

Overview: AI-driven precision farming enables real-time crop monitoring using data from sensors, satellites, and drones to ...

Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsJournal: eBioMedicine ...

Abrar Ahmed Syed bridges AI research and healthcare by architecting scalable cloud platforms and innovative edge-intelligence ...

Pests that spread as a result of climate change pose an increasing threat to fruit farming and viticulture in Germany. Fraunhofer researchers are working with partners to develop methods for the early ...