Rush uses LeanTaaS' iQueue to analyze data from Epic EHR, enabling predictive scheduling and resource allocation in the OR. The implementation has led to a 12x return on investment, a 5% increase in ...

Spend a few minutes with someone in EMS, fire service, or healthcare, and you’ll likely hear some version of the same concerns: call volumes increasing, crews stretched thin, and many of the systems ...

Charles River Analytics is developing advanced predictive maintenance and logistics technologies for the United States Navy’s ship systems. The technology helps ensure reliability across the entire ...

Abstract: Traditional data analytics methods face significant obstacles due to the growing amount of healthcare data from genetic databases, wearable technology, and Electronic Health Records (EHRs).

Silevertinib delivers robust anti-tumor activity as demonstrated by an ORR of 60% and a CNS response rate of 86% in 43 1L NSCLC patients presenting with 35 different non-classical EGFR mutations; no ...

How is AI and data leadership at large organizations being transformed by the accelerating pace of AI adoption? Do these leaders’ mandates need to change? And should overseeing AI and data be viewed ...

Find the best predictive analytics tools to boost customer experience with clear top picks, pricing guidance, and an easy how-to choose checklist. Predictive analytics tools are revolutionizing ...

A comprehensive streaming analytics platform for real-time air quality monitoring and forecasting, demonstrating the integration of Apache Kafka with machine learning for environmental applications.

Babasola Osibo's study demonstrates how machine learning and smart controls cut power use and enhance sustainability in energy-hungry data centers. At the heart of Osibo's framework are three ...