Bridging the Gap

This chapter explores the integration of neurobiological and behavioral approaches in the diagnosis of autism spectrum disorder (ASD), emphasizing the importance of a comprehensive, multidisciplinary perspective. It reviews current diagnostic practices, highlighting both strengths and limitations, and presents emerging research that bridges biological markers with observable behavioral traits. Special attention is given to the role of artificial intelligence and digital diagnostic platforms, examining their potential to enhance early detection, improve accuracy, and streamline clinical decision-making. The chapter also discusses ethical considerations, practical challenges, and future directions in the field, aiming to provide clinicians, researchers, and policymakers with a holistic understanding of ASD diagnosis and its evolving landscape.