Abstract: Thermal error is a major factor affecting CNC machine tools. Establishing an effective error prediction model is crucial for improving the machining ...

Discover the top mobile app development tools for 2025, designed to accelerate app creation and improve user experience. From low-code solutions to comprehensive IDEs, find the right tools for your ...

Legal technology startup Theo Ai Inc. today announced it has raised $3.4 million in new funding led by Run Ventures, alongside plans to expand its artificial intelligence-powered litigation prediction ...

Objective: To establish a secondary prevention screening model for predicting metabolic syndrome (MetS) based on community obstructive sleep apnea (OSA) screening, using simple and easily accessible ...

Jennifer Crawford (standing) and Kathleen Power are optimistic that an artificial intelligence tool developed by the Data Analytics department can help Waypoint managers and schedulers handle sick ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

Objective: This study aims to evaluate and compare the predictive performance of various nutritional assessment tools. Conclusion: MNA is the most effective standalone nutritional tool for predicting ...

Results: The model demonstrated strong predictive performance across validation cohorts. Area under the receiver operating characteristic curve values for metabolic syndrome prediction ranged from ...

Wildfire season is no longer something that comes and goes; it's becoming a year-round concern. In BC, wildfires can shape the entire year, and we want to know what's coming, what's at risk and how to ...

Please provide your email address to receive an email when new articles are posted on . AirStrip’s predictive tool offers early warnings to predict and respond to patient hemodynamic instability. The ...