IoT-WSN-DT Based Medical Systems and Nanotechnology for Smart Cancer Care
- 1st Edition - August 1, 2025
- Latest edition
- Editor: Tuan Anh Nguyen
- Language: English
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)… Read more
Description
Description
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.
This system can help in early diagnosis, targeted drug delivery, real-time monitoring, and personalized treatment, ultimately improving patient outcomes.
Key features
Key features
- Covers how nanosensors and nanodevices can be used in cancer forecasting, detection, and monitoring
- Explores how nanomedicines and nanovaccines can be used in cancer treatment and diagnosis
- Explains how digital twin, AI, and nanotechnology can be used for the future of cancer diagnostics and treatment
Readership
Readership
Researchers, engineers, and scientists working in the field of nanotechnology, computer science, medical technology, health information management, and cancer treatment and research
Table of contents
Table of contents
PART 1. ADVANCED NANOTECHNOLOGY FOR CANCER TREATMENT AND DIAGNOSIS
1. Exploring Nanotechnology as a Novel, Non-Invasive Therapeutic Approach in Cancer Treatment
2. Nano-sensors for cancer detection
3. Nano-biosensors for early cancer detection
4. Nanotechnology in surgical therapy
5. Nanotechnology in Cancer Immunotherapy
6. Nanotechnology for Multimodal Diagnosis and Treatment Mode
7. Nanotechnology for multimodal diagnostic and therapeutic applications
8. Enhancing Radiotherapy: The Role of Nanoparticles in Cancer Treatment
9. Chemotherapeutic nanomedicine
10. Cancer nano-medicine
11. Nanomedicine in cancer treatment: progress, side effects and toxicity
12. Nanomedicine in cancer therapy
13. Nanotechnology in the chemotherapy medications
14. Nanotechnology in Cancer Targeted Medications
15. Targeted nano-medications
16. Smart nanoencapsulation for cancer therapy
17. Nano-encapsulation as a promising approach for enhancing cancer therapy
18. Customizing Smart nano-vehicles for tumor therapy
19. Cancer nano-vaccines
20. Nanotechnology-based cancer vaccines
21. Nanoparticle Cancer Vaccines
22. Nanotechnology for Cancer Imaging
PART 2. IoT-WSN-DT BASED MEDICAL SYSTEM FOR SMART CANCER CARE
23. Smart Hospital: An Introduction
24. Cancer patient digital twin
25. Digital Twin in Cancer: Pancreatic Cancer, Lung Cancer, and Melanoma Metastases
26. IoT based healthcare system for cancer care 4.0/5.0
27. Improving Cancer Health Outcomes through Telemedicine and Smart Healthcare: Past, Present and Future Prospects
28. Blockchain technology for smart cancer care
29. A Blockchain-based Secure Access Framework with Privacy Protection for Medical Data Sharing
30. Smartphone Apps for cancer care
31. Smartphone Applications in Breast Cancer Detection
32. Cancer diagnosis using deep learning
33. Swarm intelligence for cancer care 4.0/5.0
34. Deep Learning Techniques for Cancer Detection using histopathological images
Priyanka Gavade
35. Harnessing Digital Twin, AI and Nanotechnology for Advancing Oral Cancer Care: A Paradigm Shift towards Personalized Precision Medicine
36. Artificial intelligence for cancer care 4.0/5.0
37. Artificial intelligence in cancer diagnosis and therapy
38. Application of Machine Learning in the Detection of Non-Small cell Lung Cancer (NSCLC)
39. Integration of 5G/6G networks, wearables/sensors networks, and electronic medical records in smart cancer care
40. Future perspectives
1. Exploring Nanotechnology as a Novel, Non-Invasive Therapeutic Approach in Cancer Treatment
2. Nano-sensors for cancer detection
3. Nano-biosensors for early cancer detection
4. Nanotechnology in surgical therapy
5. Nanotechnology in Cancer Immunotherapy
6. Nanotechnology for Multimodal Diagnosis and Treatment Mode
7. Nanotechnology for multimodal diagnostic and therapeutic applications
8. Enhancing Radiotherapy: The Role of Nanoparticles in Cancer Treatment
9. Chemotherapeutic nanomedicine
10. Cancer nano-medicine
11. Nanomedicine in cancer treatment: progress, side effects and toxicity
12. Nanomedicine in cancer therapy
13. Nanotechnology in the chemotherapy medications
14. Nanotechnology in Cancer Targeted Medications
15. Targeted nano-medications
16. Smart nanoencapsulation for cancer therapy
17. Nano-encapsulation as a promising approach for enhancing cancer therapy
18. Customizing Smart nano-vehicles for tumor therapy
19. Cancer nano-vaccines
20. Nanotechnology-based cancer vaccines
21. Nanoparticle Cancer Vaccines
22. Nanotechnology for Cancer Imaging
PART 2. IoT-WSN-DT BASED MEDICAL SYSTEM FOR SMART CANCER CARE
23. Smart Hospital: An Introduction
24. Cancer patient digital twin
25. Digital Twin in Cancer: Pancreatic Cancer, Lung Cancer, and Melanoma Metastases
26. IoT based healthcare system for cancer care 4.0/5.0
27. Improving Cancer Health Outcomes through Telemedicine and Smart Healthcare: Past, Present and Future Prospects
28. Blockchain technology for smart cancer care
29. A Blockchain-based Secure Access Framework with Privacy Protection for Medical Data Sharing
30. Smartphone Apps for cancer care
31. Smartphone Applications in Breast Cancer Detection
32. Cancer diagnosis using deep learning
33. Swarm intelligence for cancer care 4.0/5.0
34. Deep Learning Techniques for Cancer Detection using histopathological images
Priyanka Gavade
35. Harnessing Digital Twin, AI and Nanotechnology for Advancing Oral Cancer Care: A Paradigm Shift towards Personalized Precision Medicine
36. Artificial intelligence for cancer care 4.0/5.0
37. Artificial intelligence in cancer diagnosis and therapy
38. Application of Machine Learning in the Detection of Non-Small cell Lung Cancer (NSCLC)
39. Integration of 5G/6G networks, wearables/sensors networks, and electronic medical records in smart cancer care
40. Future perspectives
Product details
Product details
- Edition: 1
- Latest edition
- Published: August 12, 2025
- Language: English
About the editor
About the editor
TN
Tuan Anh Nguyen
Tuan Anh Nguyen is a Senior Principal Research Scientist at the Institute for Tropical Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam. He received a BS in physics from Hanoi University in 1992, a BS in economics from Hanoi National Economics University in 1997, and a PhD in chemistry from the Paris Diderot University, France, in 2003. He was a Visiting Scientist at Seoul National University, South Korea, in 2004, and the University of Wollongong, Australia, in 2005. He then worked as a Postdoctoral Research Associate and Research Scientist at Montana State University, United States in 2006-09. In 2012 he was appointed as the Head of the Microanalysis Department at the Institute for Tropical Technology. His research areas of interest include smart sensors, smart networks, smart hospitals, smart cities, complexiverse, and digital twins. He has edited more than 74 books for Elsevier, 12 books for CRC Press, 1 book for Springer, 1 book for RSC, and 2 books for IGI Global. He is the Editor-in-Chief of Kenkyu Journal of Nanotechnology & Nanoscience.
Affiliations and expertise
Senior Principal Research Scientist, Institute for Tropical Technology, Vietnam Academy of Science and Technology, Hanoi, VietnamView book on ScienceDirect
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