Artificial Intelligence Based Cancer Nanomedicine: Diagnostics, Therapeutics and Bioethics

Description

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 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