ZHEJIANG, ZHEJIANG, CHINA, January 21, 2026 /EINPresswire.com/ -- As the global industrial landscape moves further into ...

Rush University Medical Center’s Sam Davis Jr. says deploying LeanTAAS solution has fostered a data-driven culture ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Definition: Predictive metrics measure absolute strength of a team relative to the average team. Similar ratings are used by sports books to generate betting spreads. The logic is simple: beat good ...

BYU jumped three spots in the AP poll after losses by Missouri, Michigan, and Illinois. Voters are finally coming around as BYU found itself on all but one AP ballot this week, with BYU’s most popular ...

In Define Ventures’ AI investing thesis, released Thursday, the health tech venture fund outlines a vision of artificial intelligence readiness to reengineer healthcare. It’s investing in founders ...

Despite fears of surveillance state activities reminiscent of dark sci-fi stories, police hope predictive analytics developments will help them to manage tight budgets and resources, including to ...

In the age of big data, analytics tools have evolved beyond simple reporting. Today’s businesses rely heavily on two powerful types of analysis to guide strategy and improve performance: predictive ...

AI can support last-mile delivery by optimizing truck routes and predicting errors before they occur. AI-enhanced predictive analytics can also help to prevent package theft. This article is part of ...

Community health outcomes significantly impact older populations' wellbeing and quality of life. Traditional analytical methods often struggle to accurately predict health risks at the community level ...