This study investigates serum copper and ceruloplasmin levels in Egyptian autistic children, aiming to elucidate potential associations between these biomarkers and autism spectrum disorder (ASD). A comparative analysis was conducted, involving serum samples collected from autistic children and age-matched neurotypical controls. Serum copper and ceruloplasmin levels were measured using standardized laboratory techniques. The findings reveal significant differences in serum copper and ceruloplasmin levels between autistic children and neurotypical controls, suggesting potential dysregulation of copper metabolism in ASD. Further exploration of these biomarkers may offer insights into the pathophysiology of autism and inform the development of targeted interventions and diagnostic strategies.

Biostatistics serves as a cornerstone in the realm of modern health data science, providing essential tools and methodologies for analyzing, interpreting, and deriving insights from complex healthcare data. This paper explores the pivotal role of biostatistics in facilitating evidence-based decision-making, hypothesis testing, and risk assessment within the context of health research and practice. Through the application of statistical principles and techniques, biostatistics enables researchers and healthcare professionals to extract meaningful information from diverse datasets, uncover patterns, and inform policy-making efforts aimed at improving public health outcomes. By empowering modern health data science with robust analytical frameworks, biostatistics plays a critical role in advancing our understanding of disease etiology, treatment efficacy, and population health dynamics.