IoT-WSN-DT Based Medical Systems and Nanotechnology for Smart Cancer Care explores the latest advances in nanotechnology, artificial intelligence, Internet of Medical Things (IoMT), digital twin, and wireless sensor networks for real-time cancer care, enabling efficient decision-making and treatment. The book examines how data from medical nanosensors can be integrated with the technology of digital twins for cancer forecasting and monitoring, providing accessible smart insights via remote and mobile devices. By combining the strengths of smart nanotechnology, IoT-based platforms, WSN technologies, and DT, a powerful medical system can be developed for smart cancer care.
This system can help in early diagnosis, targeted drug delivery, real-time monitoring, and personalized treatment, ultimately improving patient outcomes.
1. Chapter 15 Smart hospital: An introduction - p. 241 2. Chapter 16 Cancer patient digital twin - p. 253 3. Chapter 17 Digital twin in cancer: Pancreatic cancer, lung cancer, and melanoma metastases - p. 273 4. Chapter 18 IoT-based healthcare system for cancer care 4.0/5.0 - p. 291 5. Chapter 19 Improving cancer health outcomes through telemedicine and smart healthcare: Past, present, and future prospects - p. 301 6. Chapter 20 Blockchain technology for smart cancer care - p. 311 7. Chapter 21 A blockchain-based secure access framework with privacy protection for medical data sharing - p. 341 8. Chapter 22 Smartphone apps for cancer care - p. 363 9. Chapter 23 Smartphone applications in breast cancer detection - p. 373 10. Chapter 24 Cancer diagnosis using deep learning - p. 381 11. Chapter 25 Swarm intelligence for cancer care 4.0/5.0 - p. 395 12. Chapter 26 Deep-learning techniques for cancer detection using histopathological images - p. 413 13. Chapter 27 Harnessing digital twin, AI, and nanotechnology for advancing oral cancer care: A paradigm shift toward personalized precision medicine - p. 421 14. Chapter 28 Artificial intelligence for cancer care 4.0/5.0 - p. 443 15. Chapter 29 Artificial intelligence in cancer diagnosis and therapy - p. 461 16. Chapter 30 IoT-Based wearable systems for cancer detection - p. 471 17. Chapter 31 Swarm intelligence optimization algorithm for weak learners adaptive boosting in smart cancer care - p. 487 18. Chapter 32 Future perspectives - p. 509 19. Index - p. 527
IoT-WSN-DT Based Medical Systems and Nanotechnology for Smart Cancer Care explores the latest advances in nanotechnology, artificial intelligence, Internet of Medical Things (IoMT), digital twin, and wireless sensor networks for real-time cancer care, enabling efficient decision-making and treatment. The book examines how data from medical nanosensors can be integrated with the technology of digital twins for cancer forecasting and monitoring, providing accessible smart insights via remote and mobile devices. By combining the strengths of smart nanotechnology, IoT-based platforms, WSN technologies, and DT, a powerful medical system can be developed for smart cancer care.
This system can help in early diagnosis, targeted drug delivery, real-time monitoring, and personalized treatment, ultimately improving patient outcomes.
1. Chapter 15 Smart hospital: An introduction - p. 241 2. Chapter 16 Cancer patient digital twin - p. 253 3. Chapter 17 Digital twin in cancer: Pancreatic cancer, lung cancer, and melanoma metastases - p. 273 4. Chapter 18 IoT-based healthcare system for cancer care 4.0/5.0 - p. 291 5. Chapter 19 Improving cancer health outcomes through telemedicine and smart healthcare: Past, present, and future prospects - p. 301 6. Chapter 20 Blockchain technology for smart cancer care - p. 311 7. Chapter 21 A blockchain-based secure access framework with privacy protection for medical data sharing - p. 341 8. Chapter 22 Smartphone apps for cancer care - p. 363 9. Chapter 23 Smartphone applications in breast cancer detection - p. 373 10. Chapter 24 Cancer diagnosis using deep learning - p. 381 11. Chapter 25 Swarm intelligence for cancer care 4.0/5.0 - p. 395 12. Chapter 26 Deep-learning techniques for cancer detection using histopathological images - p. 413 13. Chapter 27 Harnessing digital twin, AI, and nanotechnology for advancing oral cancer care: A paradigm shift toward personalized precision medicine - p. 421 14. Chapter 28 Artificial intelligence for cancer care 4.0/5.0 - p. 443 15. Chapter 29 Artificial intelligence in cancer diagnosis and therapy - p. 461 16. Chapter 30 IoT-Based wearable systems for cancer detection - p. 471 17. Chapter 31 Swarm intelligence optimization algorithm for weak learners adaptive boosting in smart cancer care - p. 487 18. Chapter 32 Future perspectives - p. 509 19. Index - p. 527
