Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Background Current guidelines for aortic valve replacement (AVR) lack consensus on prosthesis selection in middle-aged patients. This study aimed to provide a comprehensive comparison of long-term ...

The European Commission set out guidelines on Friday to help AI models it has determined have systemic risks and face tougher ...

The Model Context Protocol (MCP) provides a modern, semantically rich way for AI to interact with enterprise systems.

Dubbed Exaone 4.0, the AI model outperforms Alibaba’s Qwen 3 in maths, science and coding, according to LG AI Research.

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Key Takeaways CMS has proposed a mandatory two-sided risk model for specialists treating heart failure and low back pain in outpatient settings. The Ambulatory Specialty Model (ASM) would begin ...

Background Data regarding long-term recovery from autoimmune encephalitis (AE) remain limited. Methods This retrospective ...