Real Time Circadian Biomarker Integration

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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.

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Pagina's: 144, Paperback, LAP LAMBERT Academic Publishing