Real-Time Circadian Biomarker Integration: Wearable AI Systems for Dynamic Treatment Optimization in Neurodegeneration

Advances in wearable artificial intelligence are reshaping the understanding of neurodegenerative diseases by enabling continuous, real-time monitoring of circadian biomarkers. This book explores how dynamic physiological signals—such as sleep–wake patterns, hormonal rhythms, neural activity fluctuations, and metabolic cycles—can be captured, interpreted, and integrated into adaptive treatment strategies. By linking circadian dysregulation to disease progression, the text demonstrates how AI-driven systems personalise therapeutic interventions and predict response trajectories. It highlights emerging sensor technologies, machine-learning frameworks for biomarker fusion, clinical relevance, and ethical considerations in patient-centred monitoring. Designed for researchers, clinicians, and technologists, the book presents a forward-looking framework for precision care in neurodegenerative disorders.