Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Abstract: This study addresses the lack of comprehensive evaluations of feature scaling by systematically assessing 12 techniques, including less common methods such as VAST and Pareto, in 14 machine ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

When everyone has access to the same AI models, the same AI-enabled tools, and the same vendor ecosystem, organizational context becomes the differentiator. Context is demonstrated execution: the ...

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

Abstract: In this work, the possibility of applying machine learning (ML) techniques to analyze and predict radio wave propagation losses in urban environments is explored. Thus, from a measurement ...

Introduction: Esophageal cancer remains a major global health burden and is among the leading causes of cancer-related deaths. Accurate evaluation of tumor regression grade (TRG) after neoadjuvant ...

Students with ADHD face learning challenges in traditional classroom settings that their peers do not. The article, “ADHD Is Punished in Schools. How Teachers Can Flip the Script ” (Oct. 2, 2025), ...