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Using AI in Medicine and Preparing a Framework for Medical Education
The integration of artificial intelligence (AI) in medicine is transforming healthcare, enabling advanced diagnostics, improved decision-making, and operational efficiencies. However, its application requires careful consideration to ensure that the essence of patient care—ethical responsibility and compassion—is maintained. Clear guidelines are essential to navigate this evolving landscape while simultaneously preparing medical professionals to harness AI effectively…
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Understanding the Central Limit Theorem and Estimating Population Mean Using Sample Data
The Central Limit Theorem (CLT) is a fundamental concept in statistics and an essential tool in biostatistics. It provides a foundation for understanding how sample data can be used to make inferences about an entire population. This article will guide students through the development and significance of the CLT, exploring the role of sample means,…
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The Alignment of Malaysia’s Health White Paper with the WHO Pathogen Prioritisation Framework for Infectious Disease Preparedness
Abstract Amid rising global threats from infectious diseases, Malaysia’s Health White Paper (MHW) outlines a national strategy for health security and preparedness, aligning with the WHO’s pathogen prioritisation framework for epidemic and pandemic response. This paper examines the MHW’s focus on pathogen family-based research, surveillance, and international collaboration and assesses its alignment with the WHO’s…