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 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
Contributions have been made by 16 researchers who are experts in pharmacology and drug design. The contents of the book bridge knowledge gaps between the fields of biomedical engineering, pharmacology and clinical medicine, with a focus on cancer treatment.
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.
Author(s): Fahima Dilnawaz, Ajit Kumar Behura
Publisher: Bentham Science Publishers
Year: 2022
Language: English
Pages: 108
City: Singapore
Cover
Title
Copyright
End User License Agreement
Contents
Foreword
Preface
List of Contributors
The Need for Artificial Intelligence in Cancer Nanomedicine
Fahima Dilnawaz1,*
INTRODUCTION
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Application of Artificial Intelligence for Designing Cancer Nanomedicine
Fahima Dilnawaz1,*
INTRODUCTION
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
Artificial Intelligence and its Application in Cancer Nanomedicine
Sweta Mohanty1, Sarbari Acharya1 and Chandana Mohanty1,*
INTRODUCTION
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
Artificial Intelligence-based Diagnostic Design for Precision Cancer Nanomedicine
Ranjita Misra1,* and Malathi Sampath2
INTRODUCTION
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
Artificial Intelligence-based Nanosensors to Compose the Patient's Cancer Biomarker Profile
Malathi Sampath1 and Ranjita Misra2,*
INTRODUCTION
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
Artificial Intelligence as a Putative Tool for Newer Drug Development Approach in Cancer Nanomedicine
Pooja Jain1, Sradhanjali Mohapatra1, Nazia Hassan1, Manvi Singh2, Uzma Farooq1, Mohd. Aamir Mirza1 and Zeenat Iqbal1,*
INTRODUCTION
CANCER
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
Artificial Intelligence-Enabled Model for Predicting the Metastatic Potential of Cancer Cells
Sarbari Acharya1,* and Chandana Mohanty1
INTRODUCTION
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
Artificial Intelligence for Cancer Nanotheranostics
Sarbari Acharya1,*
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
Ethical Dimensions of Using Artificial Intelligence in Healthcare
Ajit Kumar Behura1,*
INTRODUCTION
ETHICAL CONSIDERATIONS WHEN USING AI IN HEALTH CARE
CONCLUSIONS
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Subject Index
Back Cover
