Background Patients with heart failure (HF) and severe mitral regurgitation (MR) have poor outcomes. Early identification ...

Ireland’s children deserve a world-class hospital. Instead, they’re getting a €2.2 billion building paired with a €362 ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

By leveraging AI-powered solutions, consultants can take vast amounts of documentation, summarize it and more quickly inform strategies and build blueprints for rollouts. AI is also being used in ...

Abstract: Automated test generation tools often produce assertions that reflect implemented behavior, limiting their usage to regression testing. In this paper, we propose LLMProphet, a black-box ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

Cyngn developed a simulation environment using NVIDIA Isaac Sim to test autonomous vehicle software in high-fidelity digital warehouses.

A preventive cardiology case demonstrates how advanced imaging, aggressive lipid optimization, and integrative therapies can reduce coronary plaque burden i ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Background: Middle-aged and older endurance athletes have increased prevalence of coronary artery disease (CAD) on coronary CT angiography (CCTA) compared to healthy controls, despite similarly low ...

Why financial services platforms fail after customisation – and what to do about itBy Tristan Brown, Senior Solutions Consultant, Inspired TestingIssued by Inspired TestingJohannesburg, 27 Jan 2026 ...