Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...

Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...

Researchers have combined machine learning with portable biosensors to accurately detect a dangerous cyanobacterial toxin ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Testing how quickly a biodegradable plastic actually breaks down in the environment can take months, sometimes years, of lab ...

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

A machine learning model adjusts toxin readings for water-quality variability, enabling faster, lower-cost on-site testing without repeated recalibration CHUNGCHEONG PROVINCE, South Korea, July 10, ...

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...

With peak wildfire season underway in California, PG & E's Chief Meteorologist Scott Stenfel held a virtual Wildfire Season ...