New energy-saving control strategy helps connected plug-in hybrids anticipate front-vehicle behavior
Researchers have developed an energy-saving control strategy for intelligent connected plug-in hybrid electric vehicles that ...
At INTERPHEX 2026, David Chau and Stuart Tindal discuss automation, single-use durability challenges, and the shift to ...
Machine learning can predict the risk for developing asthma and allergic rhinitis in children diagnosed with early-life atopic dermatitis.
A locally trained sepsis model shows early warning potential in acute care, but its accuracy varies by the sepsis definition used, and high false positives limit its clinical utility.
Holivita pulls your lab results, health metrics, and self-reported data into a comprehensive personal health profile. The platform’s AI cross-references these health inputs to spot patterns no single ...
A pain-informed model identified risk factors for clinically significant nausea in patients undergoing metabolic bariatric surgery.
Rather than treating transformation as a technology-led initiative, Sedgwick has tied its efforts directly to business ...
The brain predicts the past and learns from prediction errors—unless it's overwhelmed. A little uncertainty is good; a lot is ...
AI image generation is shifting from novelty to precision, with experts emphasizing structured, context-rich prompts as the key to consistent, high-quality results. Guides now highlight techniques ...
WASILLA, AK / ACCESS Newswire / April 28, 2026 / Capstone Family Medicine (Capstone), the state's largest rural private ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results