Biosensing Innovations for Health and Disease Management #1006236

Biosensing Innovations for Health and Disease Management provides a comprehensive overview of the principles, technologies, and emerging applications of biosensors in modern healthcare and biomedical research. The book introduces the fundamental concepts of biosensor design before examining advanced fabrication methods, functional materials, and diverse transduction mechanisms, including optical, electrochemical, piezoelectric and thermal approaches. It further explores the integration of nanotechnology to enhance biosensor sensitivity, selectivity and analytical performance. The volume highlights recent advances in nano-biosensors, bioprinting technologies, and biosensor-integrated bioinks for tissue engineering and regenerative medicine. Dedicated chapters discuss innovations in bioreceptor engineering and the expanding role of biosensors in the diagnosis and therapeutic monitoring of cardiovascular diseases, central nervous system disorders, and emerging viral infections. The concluding chapters address future challenges and the integration of artificial intelligence and bioinformatics for biosensor data analysis, offering insights into next-generation intelligent diagnostic systems. This scholarly reference serves as a valuable resource for researchers, clinicians, biomedical engineers and graduate students working at the intersection of biosensing, nanotechnology, and precision medicine. Key Features Explains the principles, fabrication techniques, and transduction mechanisms underlying modern biosensors. Examines the integration of nanotechnology to improve biosensor performance and diagnostic accuracy. Covers recent advances in tissue engineering, bioprinting, and biosensor-integrated biomaterials. Discusses biosensor applications in cardiovascular diseases, neurological disorders, and pandemic virus detection. Explores innovations in bioreceptor engineering for highly selective and sensitive biomolecular detection. Highlights the role of AI-driven bioinformatics in biosensor data integration and future intelligent healthcare systems. Readership Researchers, engineers and graduate students of engineering and technical courses.