Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

Flash floods are among the deadliest weather events in the world, killing more than 5,000 people each year. They’re also among the most difficult to predict. But Google thinks it has cracked that ...

AUBURN, Ala. (WTVM) - Alabama Power is preparing for the spring storm season with a new predictive technology designed to reduce power outage times and better position crews before storms hit. The ...

A multidisciplinary team led by MUSC Hollings Cancer Center researcher Sophie Paczesny, M.D., Ph.D., developed an AI-based tool that can identify patients at higher risk for serious post-transplant ...

Cleveland-Cliffs, Inc. is a flat-rolled steel company, which engages in provision of iron ore pellets to the North American steel industry. It focuses on the production of metallic and coke, iron ...

An international team of scientists has identified how to pinpoint and predict hotspots for some of the most dangerous species of scorpion in the world. The researchers have established the key ...

You are tasked to lead a 40-truck convoy resupplying combat troops at the front during large-scale combat operations. The mission is critical, and every vehicle must complete it as quickly, ...

AI models predict XRP between under $2 to over $14 by the end of 2026. XRP base price predictions for 2026 cluster in the $2-4 range. Monte Carlo simulations show 60% of outcomes land between $1.04-$3 ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...

Annual copper demand to hit 42 metric tons by 2040 Global supplies expected to fall short by 10 metric tons AI, defense, robotics seen as increasingly large users 'Net zero' policies no longer main ...