In supervised learning, a set of input variables, such as blood metabolite or gene expression levels, are used to predict a quantitative response variable like hormone level or a qualitative one such ...

Background Joint analyses across multiple health datasets can increase statistical power and improve the generalisability of ...

In 2026, AI research is moving beyond raw scaling to focus on efficiency, adaptability, and operational robustness. Advances in architectures, benchmarks, and conferences reflect a growing emphasis on ...

Introduction:For a long time, we had a portfolio of 3 cars at home for family needs. Around mid 2025, we had a 3-year-old ...

Today Microsoft is announcing a major step forward in AI-powered cyber defense: a new multi-model agentic scanning harness ...

Background Tobacco use remains a global public health challenge, leading to over 8 million annual deaths and significant ...

Scientists have developed a new AI method that can work backward from patterns to uncover the hidden processes driving them.

Objectives To examine the associations between migration experiences during different life stages and long-term health ...