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Artificial Intelligence Based Cancer Nanomedicine Diagnostics Therapeutics And Bioethics


Artificial Intelligence Based Cancer Nanomedicine Diagnostics Therapeutics And Bioethics
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Artificial Intelligence Based Cancer Nanomedicine


Artificial Intelligence Based Cancer Nanomedicine
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Author : Fahima Dilnawaz; Ajit
language : en
Publisher:
Release Date : 2022-05-31

Artificial Intelligence Based Cancer Nanomedicine written by Fahima Dilnawaz; Ajit and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with categories.


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.



Artificial Intelligence Based Cancer Nanomedicine Diagnostics Therapeutics And Bioethics


Artificial Intelligence Based Cancer Nanomedicine Diagnostics Therapeutics And Bioethics
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Author : Fahima Dilnawaz
language : en
Publisher: Bentham Science Publishers
Release Date : 2022-05-31

Artificial Intelligence Based Cancer Nanomedicine Diagnostics Therapeutics And Bioethics written by Fahima Dilnawaz and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Technology & Engineering categories.


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.



Reshaping Healthcare With Cutting Edge Biomedical Advancements


Reshaping Healthcare With Cutting Edge Biomedical Advancements
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Author : Prabhakar, Pranav Kumar
language : en
Publisher: IGI Global
Release Date : 2024-05-06

Reshaping Healthcare With Cutting Edge Biomedical Advancements written by Prabhakar, Pranav Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-06 with Technology & Engineering categories.


Despite remarkable advancements in biomedical research, the healthcare industry faces challenges in effectively translating these discoveries into tangible patient benefits. Healthcare professionals often need help to keep pace with the rapid evolution of medical knowledge, leading to variations in patient care and treatment outcomes. Policymakers and educators may need more insight to leverage recent biomedical developments in shaping effective health policies and educational curricula. Additionally, ethical considerations surrounding emerging technologies like gene editing and Artificial Intelligence (AI) in healthcare pose complex dilemmas that require careful navigation. Reshaping Healthcare with Cutting-Edge Biomedical Advancements offers a comprehensive solution to these challenges. By providing a detailed exploration of the latest breakthroughs in genomics, regenerative therapies, neurobiology, AI, and more, this book equips healthcare professionals with the knowledge needed to make informed decisions about patient care. It also guides policymakers and educators, offering insights into the implications of recent biomedical advancements for shaping health policies and educational programs.



Artificial Intelligence In Healthcare


Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21

Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.


Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data



Implementation Of Personalized Precision Medicine


Implementation Of Personalized Precision Medicine
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Author : William P. Stanford
language : en
Publisher: Elsevier
Release Date : 2024-11-22

Implementation Of Personalized Precision Medicine written by William P. Stanford and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-22 with Science categories.


Implementation of Personalized Precision Medicine: Expanding the Clinical Vision towards Prevention, Early Detection, and Precision Treatment of Disease to Drive Extended Healthspan establishes the landscape of precision medicine as it stands in relation to implementation of individualized approaches based on the patient's unique genomic and biochemical make-up to facilitate prevention, early detection and personalized interventions. This reference details how these lofty goals are now achievable with the science of today (and tomorrow) and provides the context and blueprint allowing researchers and clinicians to avoid, and more effectively treat, complex chronic disease.At the heart of precision medicine lies one concept that has been missing from modern medicine–the unique genetic and biochemical make-up of each individual patient. Uniquely organized, this reference reflects this concept and provides insights into patient constitution, genetic inherited risk, current epigenetic modifications, and current biochemical state, making this reference valuable to researchers and science-minded providers who modified, reverse or prevent disease progression. - Explores the expanding paradigm of Precision Medicine application highlighting full personalization in precision medicine. - Explores the gap between precision medicine implementation and medical policy, showing the integration and implementation of technologies in primary care for chronic disease. - Provides fresh viewpoints and perspectives for researchers and science-minded providers on the forefront of implementation, to be informed of the best available tools and approaches for each individual patient.



Nanostructures For Cancer Therapy


Nanostructures For Cancer Therapy
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Author : Alexandru Mihai Grumezescu
language : en
Publisher: Elsevier
Release Date : 2017-04-11

Nanostructures For Cancer Therapy written by Alexandru Mihai Grumezescu and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-11 with Medical categories.


Nanostructures for Cancer Therapy discusses the available preclinical and clinical nanoparticle technology platforms and their impact on cancer therapy, including current trends and developments in the use of nanostructured materials in chemotherapy and chemotherapeutics. In particular, coverage is given to the applications of gold nanoparticles and quantum dots in cancer therapies. In addition to the multifunctional nanomaterials involved in the treatment of cancer, other topics covered include nanocomposites that can target tumoral cells and the release of antitumoral therapeutic agents. The book is an up-to-date overview that covers the inorganic and organic nanostructures involved in the diagnostics and treatment of cancer. - Provides an examination of nanoparticle delivery systems for cancer treatment, illustrating how the use of nanotechnology can help provide more effective chemotherapeutic treatments - Examines, in detail, the different types of nanomaterials used in cancer therapy, also explaining the effect of each - Provides a cogent overview of recent developments in the use of nanostructured materials in chemotherapeutics, allowing readers to quickly familiarize themselves with this area



Artificial Intelligence In Medical Imaging


Artificial Intelligence In Medical Imaging
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Author : Erik R. Ranschaert
language : en
Publisher: Springer
Release Date : 2019-01-29

Artificial Intelligence In Medical Imaging written by Erik R. Ranschaert and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-29 with Medical categories.


This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implicationsfor radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.



Next Generation Sequencing


Next Generation Sequencing
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Author : Jerzy Kulski
language : en
Publisher: BoD – Books on Demand
Release Date : 2016-01-14

Next Generation Sequencing written by Jerzy Kulski and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-14 with Medical categories.


Next generation sequencing (NGS) has surpassed the traditional Sanger sequencing method to become the main choice for large-scale, genome-wide sequencing studies with ultra-high-throughput production and a huge reduction in costs. The NGS technologies have had enormous impact on the studies of structural and functional genomics in all the life sciences. In this book, Next Generation Sequencing Advances, Applications and Challenges, the sixteen chapters written by experts cover various aspects of NGS including genomics, transcriptomics and methylomics, the sequencing platforms, and the bioinformatics challenges in processing and analysing huge amounts of sequencing data. Following an overview of the evolution of NGS in the brave new world of omics, the book examines the advances and challenges of NGS applications in basic and applied research on microorganisms, agricultural plants and humans. This book is of value to all who are interested in DNA sequencing and bioinformatics across all fields of the life sciences.



The Fourth Industrial Revolution


The Fourth Industrial Revolution
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Author : Klaus Schwab
language : en
Publisher: Penguin UK
Release Date : 2017-01-03

The Fourth Industrial Revolution written by Klaus Schwab and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-03 with Business & Economics categories.


The founder and executive chairman of the World Economic Forum on how the impending technological revolution will change our lives We are on the brink of the Fourth Industrial Revolution. And this one will be unlike any other in human history. Characterized by new technologies fusing the physical, digital and biological worlds, the Fourth Industrial Revolution will impact all disciplines, economies and industries - and it will do so at an unprecedented rate. World Economic Forum data predicts that by 2025 we will see: commercial use of nanomaterials 200 times stronger than steel and a million times thinner than human hair; the first transplant of a 3D-printed liver; 10% of all cars on US roads being driverless; and much more besides. In The Fourth Industrial Revolution, Schwab outlines the key technologies driving this revolution, discusses the major impacts on governments, businesses, civil society and individuals, and offers bold ideas for what can be done to shape a better future for all.



Natural Language Annotation For Machine Learning


Natural Language Annotation For Machine Learning
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Author : James Pustejovsky
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013

Natural Language Annotation For Machine Learning written by James Pustejovsky and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computers categories.


Includes bibliographical references (p. 305-315) and index.