To better select patients for adjuvant therapy, it is important to accurately predict patients at risk for recurrence. Our objective was to train, validate, and test models of EC recurrence using ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

The OptiSystem software has integrated machine learning (ML) tools, allowing users to train optical communication systems by analyzing eye diagrams of dual-level systems. This tool provides multiple ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data ...

GDPR and other data protection laws prohibit storing customer data outside of an organization's firewall, making cloud AI tools a liability for compliance-conscious businesses. The Future of AI in ...

Designed to support the entire machine learning lifecycle -- from data ingestion and model training to deployment and monitoring -- Azure ML is empowering developers to integrate predictive ...

A/B testing, a common method of comparison used by digital marketers, can help L&D leaders determine whether trainings are making the impact they should.