The book explores the intersection of neuroscience, artificial intelligence, and chronomedicine in addressing complex brain diseases linked to circadian rhythm disruption. This book examines how AI-driven analytics and machine learning can decode biological rhythms, enabling the design of personalized therapeutic strategies for disorders such as Alzheimer's, Parkinson's, and other neurodegenerative conditions. It highlights innovative approaches including digital biomarkers, wearable monitoring, and computational modeling that support precision chronotherapy by aligning treatment schedules with individual biological clocks. Through multidisciplinary perspectives spanning neurology, bioinformatics, pharmacology, and clinical practice, the book demonstrates how integrating AI with chronotherapeutic principles can enhance treatment efficacy, reduce side effects, and improve patient quality of life. Serving as both a research reference and a practical guide, it presents the future ofpersonalized medicine in neurodegenerative circadian disorders.
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