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AI-Integrated Biosensors and Technologies for Automated Disease Detection and Drug Delivery: Revolutionizing the Healthcare Industry [Kõva köide]

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  • Formaat: Hardback, 520 pages, kõrgus x laius: 234x156 mm, 13 Tables, black and white; 36 Line drawings, black and white; 9 Halftones, black and white; 45 Illustrations, black and white
  • Ilmumisaeg: 25-Nov-2024
  • Kirjastus: CRC Press
  • ISBN-10: 1032744391
  • ISBN-13: 9781032744391
  • Formaat: Hardback, 520 pages, kõrgus x laius: 234x156 mm, 13 Tables, black and white; 36 Line drawings, black and white; 9 Halftones, black and white; 45 Illustrations, black and white
  • Ilmumisaeg: 25-Nov-2024
  • Kirjastus: CRC Press
  • ISBN-10: 1032744391
  • ISBN-13: 9781032744391

The book presents a comprehensive overview of biosensors, AI-integrated biosensor technologies and their potential to enhance healthcare outcomes. The book covers a wide range of biosensor-related subjects, such as their principles, several types of biosensors, and applications in disease diagnosis and drug delivery.



The book presents a comprehensive overview of biosensors, AI-integrated biosensor technologies, and their potential to enhance healthcare outcomes. It covers various types of biosensors and their principles and applications in disease diagnosis and drug delivery.

AI-Integrated Biosensors and Technologies for Automated Disease Detection and Drug Delivery System: Revolutionizing Healthcare Industry describes how biosensors can be used to detect diseases like cancer, infectious disease, cardiovascular disease, respiratory disease, metabolic disease, autoimmune disease, and uncommon disorders. It also encompasses drug delivery biosensors such as implantable biosensors, wearable biosensors, smart pills, and biosensors for personalized medicine. The book showcases the remarkable convergence of these fields, demonstrating the immense potential for breakthroughs in biosensors, biotechnology, AI-equipped sensors, IoT-controlled sensors, wireless-monitored sensors, and transformative applications by inviting readers to envision a future of smart healthcare ecosystems, inspiring them to embrace the possibilities and limitless horizons of this AI-powered era.

This book is intended for specialists, analysts, engineers, researchers, academics, professionals, and students working in biosensors and AI-integrated biosensor technologies to resolve the challenging issues associated with the leveraging of combating the fields of healthcare and medicine.

Chapter
1. Introduction to Artificial Intelligence (AI)-Integrated Biosensors

Chapter
2. Electrochemical Biosensors for Disease Detection

Chapter
3. Optical Biosensors for Medical Diagnostics

Chapter
4. Transforming Healthcare with Piezoelectric AI-Biosensors

Chapter
5. Wearable Biosensors for Continuous Health Monitoring

Chapter
6. Implantable Biosensors for Drug Delivery

Chapter
7. Leveraging Reinforcement Learning for Enhanced Cancer Detection

Chapter
8. Smartphone-Based Biosensors for At-Home Diagnostics

Chapter
9. Artificial Intelligence (AI) Techniques for Biosensor Data Analysis

Chapter
10. Cloud-Based Infrastructure for Connected Biosensors

Chapter
11. Machine Learning for Biosensor Signal Processing

Chapter
12. Smart Pills and Biosensors for Drug Delivery

Chapter
13. Biosensor Manufacturing and Commercialization

Chapter
14. Regulatory Landscape for AI-Based Medical Devices

Chapter
15. Precision Medicine Applications of AI-Integrated Biosensors

Chapter
16. Early Disease Detection with Multimodal Biosensors

Chapter
17. Bioinspired Design of Smart Biosensing Systems

Chapter
18. Ethics of Artificial Intelligence (AI) and Biosensors in Healthcare

Chapter
19. Biosensor-Based Monitoring of Treatment Efficacy

Chapter
20. Automated Interventions Driven by Biosensor Data

Chapter
21. The Future of AI-Enabled Automated Sensing and Therapy

Chapter
22. AI-Powered Precision Revolutionizing Disease Detection and Patient Care in Healthcare

Chapter
23. Applications and Challenges of Cybersecurity in Healthcare Medical Devices in Hospitals

Chapter
24. Cybersecurity for Internet of Things (IoT) Devices and Sensors

Chapter
25. Attacks in Internet of Things (IoT) Healthcare Wearable Sensors

Chapter
26. Conclusions and Outlook

Dr Alex Khang has over 28 years of teaching and research experience in information technology. He is a professor in information technology, AI, and data science. He is also a software industry expert and the Chief of Technology at the AI and Data Science Research Center at the Global Research Institute of Technology and Engineering, North Carolina, United States.

Dr Ushaa Eswaran is a Principal and Professor, Indira Institute of Technology and Sciences, Markapur, Andhra Pradesh, India. She is an academician with over 33 years of experience in education, research, skill development and career research.