نانومدیسین سرطان مبتنی بر هوش مصنوعی: تشخیص، درمان و زیست‌اخلاقیات

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. Cover 1 Title 2 Copyright 3 End User License Agreement 4 Contents 6 Foreword 9 Preface 10 List of Contributors 12 The Need for Artificial Intelligence in Cancer Nanomedicine 13 Fahima Dilnawaz1,* 13 INTRODUCTION 13 CONCLUSION 14 CONSENT FOR PUBLICATION 15 CONFLICT OF INTEREST 15 ACKNOWLEDGEMENTS 15 REFERENCES 15 Application of Artificial Intelligence for Designing Cancer Nanomedicine 16 Fahima Dilnawaz1,* 16 INTRODUCTION 16 USE OF NANOMATERIALS AND AI IN PRECISION DIAGNOSTICS 17 PREDICTION OF PERSONALIZED DRUG POTENCY BY NANOTECHNOLOGY 18 UTILIZING COMPUTATIONAL MODELLING IN NANOTHERAPEUTICS FOR TARGETING AND PERSONALIZED DOSING 19 UTILIZING AI AND NANOMATERIALS FOR DRUG DOSING AND IMPROVED THERAPEUTIC EFFICACY 21 EXPLOITING THE USE OF AI AND NANOTECHNOLOGY FOR PERSONALIZED GENE THERAPY 22 CONCLUSION AND FUTURE PERSPECTIVE 23 CONSENT FOR PUBLICATION 24 CONFLICT OF INTEREST 24 ACKNOWLEDGEMENTS 24 REFERENCES 24 Artificial Intelligence and its Application in Cancer Nanomedicine 28 Sweta Mohanty1, Sarbari Acharya1 and Chandana Mohanty1,* 28 INTRODUCTION 28 CANCER NANOMEDICINE 29 ARTIFICIAL INTELLIGENCE (AI) 30 ROLE OF AI IN DRUG DISCOVERY 32 APPLICATION OF AI TECHNOLOGIES IN CANCER NANOMEDICINE 34 CONCLUSION 35 CONSENT FOR PUBLICATION 36 CONFLICT OF INTEREST 37 ACKNOWLEDGEMENTS 37 REFERENCES 37 Artificial Intelligence-based Diagnostic Design for Precision Cancer Nanomedicine 39 Ranjita Misra1,* and Malathi Sampath2 39 INTRODUCTION 39 ROLE OF NANOMEDICINES IN CANCER DIAGNOSIS 40 NANOMEDICINES USED FOR CANCER DIAGNOSIS 41 ARTIFICIAL INTELLIGENCE AND ITS SIGNIFICANCE 42 APPLICATION OF ARTIFICIAL INTELLIGENCE TOWARDS CANCER DIAGNOSIS 43 ADVANTAGE OF INTEGRATION OF ARTIFICIAL INTELLIGENCE AND NANOMEDICINES 44 CONCLUSION 46 CONSENT FOR PUBLICATION 46 CONFLICT OF INTEREST 46 ACKNOWLEDGEMENTS 46 REFERENCES 46 Artificial Intelligence-based Nanosensors to Compose the Patient's Cancer Biomarker Profile 51 Malathi Sampath1 and Ranjita Misra2,* 51 INTRODUCTION 51 NANOSENSORS AND THEIR ROLE IN BIOMARKERS PROFILING 52 TYPES OF NANOSENSORS 53 Affinity Based Biosensors 54 Catalytic Based Sensors 54 Enzymes 54 Microbes 55 Organelles 55 Tissue Samples 55 OPTICAL NANOSENSORS 55 ELECTROCHEMICAL SENSORS 56 CHEMICAL NANOSENSORS 56 DEPLOYABLE SENSOR 57 ELECTROMETERS 57 BIOSENSOR 57 ADVANTAGES OF AMALGAMATION OF NANOSENSORS WITH ARTIFICIAL INTELLIGENCE 58 FUTURE PERSPECTIVES 59 CONCLUSION 60 CONSENT FOR PUBLICATION 60 CONFLICT OF INTEREST 60 ACKNOWLEDGEMENTS 60 REFERENCES 61 Artificial Intelligence as a Putative Tool for Newer Drug Development Approach in Cancer Nanomedicine 65 Pooja Jain1, Sradhanjali Mohapatra1, Nazia Hassan1, Manvi Singh2, Uzma Farooq1, Mohd. Aamir Mirza1 and Zeenat Iqbal1,* 65 INTRODUCTION 65 CANCER 67 Cancer Diagnosis and Treatment Approaches 67 Cancer Nanomedicines 68 ARTIFICIAL INTELLIGENCE 71 Integration of AI and Nanotechnology for Cancer Therapy 73 Artificial Intelligence-Driven Approach for Future Healthcare System 75 CONCLUSION 76 CONSENT FOR PUBLICATION 77 CONFLICT OF INTEREST 77 ACKNOWLEDGMENT 77 REFERENCES 77 Artificial Intelligence-Enabled Model for Predicting the Metastatic Potential of Cancer Cells 81 Sarbari Acharya1,* and Chandana Mohanty1 81 INTRODUCTION 81 CANCER METASTASIS 82 DIAGNOSIS OF CANCER METASTASIS 83 ARTIFICIAL INTELLIGENCE AND CANCER DETECTION 84 ROLE OF AI MODELS FOR PREDICTING CANCER METASTASIS 85 FUTURE PERSPECTIVES AND CONCLUSION 87 CONSENT FOR PUBLICATION 87 CONFLICT OF INTEREST 87 ACKNOWLEDGEMENTS 87 REFERENCES 87 Artificial Intelligence for Cancer Nanotheranostics 90 Sarbari Acharya1,* 90 INTRODUCTION 90 CANCER IMAGING 91 THERANOSTICS AND NANOTHERANOSTICS 91 ROLE OF NANOTHERANOSTICS IN CANCER MANAGEMENT 92 AI IN NANOMEDICINE FOR CANCER THERAPY 93 AI AND NANOTHERANOSTICS 94 CONCLUSION 95 CONSENT FOR PUBLICATION 95 CONFLICT OF INTEREST 95 ACKNOWLEDGEMENTS 95 REFERENCES 95 Ethical Dimensions of Using Artificial Intelligence in Healthcare 98 Ajit Kumar Behura1,* 98 INTRODUCTION 98 ETHICAL CONSIDERATIONS WHEN USING AI IN HEALTH CARE 99 CONCLUSIONS 101 CONSENT FOR PUBLICATION 101 CONFLICT OF INTEREST 101 ACKNOWLEDGEMENTS 101 REFERENCES 102 Subject Index 103 Back Cover 110