Nanomedicine is evolving with novel drug formulations devised for multifunctional approaches towards diagnostics ad therapeutics. Nanomedicine-based drug therapy is normally explored at a fixed dose. The drug action is time-dependent, dose-dependent and patient-specific. To overcome challenges of nanomedicine testing, artificial intelligence (AI) serves as a helping tool for optimizing the drug and dose parameters. Real time conversions between these two features enables upgradation of patient data acquisition and improved design of nanomaterials. In this scenario, AI-based pattern analysis and algorithms models can greatly improve accuracy of diagnostics and therapeutics.
This book gives a comprehensive explanation of the role of machine learning and artificial intelligence in cancer nanomedicine. It presents 10 chapters that cover multiple dimensions of the subject. These dimensions are:
The book serves as a reference for scholars learning about cancer diagnostics and therapeutics. Biomedical engineers who are involved in healthcare projects will also find the concepts and techniques highlighted in the book informative for understanding modern computer-based approaches used to solve clinical problems.
This book gives a comprehensive explanation of the role of machine learning and artificial intelligence in cancer nanomedicine. It presents 10 chapters that cover multiple dimensions of the subject. These dimensions are:
- The need of AI and ML in designing new cancer drugs
- Application of AI in cancer drug design
- AI-based drug delivery models for cancer drugs
- Diagnostic applications of AI
- Intelligent nanosensors for biomarker profiling
- Predictive models for metastatic cancer
- Cancer nanotheranostics
- Ethics of AI in medicine
The book serves as a reference for scholars learning about cancer diagnostics and therapeutics. Biomedical engineers who are involved in healthcare projects will also find the concepts and techniques highlighted in the book informative for understanding modern computer-based approaches used to solve clinical problems.
Table of Contents
Chapter 1 The Need for Artificial Intelligence in Cancer Nanomedicine- Conclusion
- Consent for Publication
- Conflict of Interest
- Acknowledgements
- References
- Use of Nanomaterials and Ai in Precision Diagnostics
- Prediction of Personalized Drug Potency by Nanotechnology
- Utilizing Computational Modelling in Nanotherapeutics for Targeting and Personalized Dosing
- Utilizing Ai and Nanomaterials for Drug Dosing and Improved Therapeutic Efficacy
- Exploiting the Use of Ai and Nanotechnology for Personalized Gene Therapy
- Conclusion and Future Perspective
- Consent for Publication
- Conflict of Interest
- Acknowledgements
- References
- Cancer Nanomedicine
- Artificial Intelligence (Ai)
- Role of Ai in Drug Discovery
- Application of Ai Technologies in Cancer Nanomedicine
- Conclusion
- Consent for Publication
- Conflict of Interest
- Acknowledgements
- References
- Role of Nanomedicines in Cancer Diagnosis
- Nanomedicines Used for Cancer Diagnosis
- Artificial Intelligence and Its Significance
- Application of Artificial Intelligence Towards Cancer Diagnosis
- Advantage of Integration of Artificial Intelligence and Nanomedicines
- Conclusion
- Consent for Publication
- Conflict of Interest
- Acknowledgements
- References
- Nanosensors and Their Role in Biomarkers Profiling
- Types of Nanosensors
- Affinity Based Biosensors
- Catalytic Based Sensors
- Enzymes
- Microbes
- Organelles
- Tissue Samples
- Optical Nanosensors
- Electrochemical Sensors
- Chemical Nanosensors
- Deployable Sensor
- Electrometers
- Biosensor
- Advantages of Amalgamation of Nanosensors with Artificial Intelligence
- Future Perspectives
- Conclusion
- Consent for Publication
- Conflict of Interest
- Acknowledgements
- References
Chapter 6 Artificial Intelligence as a Putative Tool for Newer Drug Development Approach in Cancer Nanomedicine
- Cancer Diagnosis and Treatment Approaches
- Cancer Nanomedicines
- Artificial Intelligence
- Integration of Ai and Nanotechnology for Cancer Therapy
- Artificial Intelligence-Driven Approach for Future Healthcare System
- Conclusion
- Consent for Publication
- Conflict of Interest
- Acknowledgment
- References
- Cancer Metastasis
- Diagnosis of Cancer Metastasis
- Artificial Intelligence and Cancer Detection
- Role of Ai Models for Predicting Cancer Metastasis
- Future Perspectives and Conclusion
- Consent for Publication
- Conflict of Interest
- Acknowledgements
- References
Chapter 8 Artificial Intelligence for Cancer Nanotheranostics
Sarbari Acharya Introduction
Cancer Imaging
Theranostics and Nanotheranostics
Role of Nanotheranostics in Cancer Management
Ai in Nanomedicine for Cancer Therapy
Ai and Nanotheranostics
Conclusion
Consent for Publication
Conflict of Interest
Acknowledgements
References
Chapter 9 Ethical Dimensions of Using Artificial Intelligence in Healthcare
Ajit Kumar Behura Introduction
Ethical Considerations When Using Ai in Health Care
Conclusions
Consent for Publication
Conflict of Interest
Acknowledgements
References
Subject Index
91
Author
- Fahima Dilnawaz
- Ajit Kumar Behura
