Artificial Intelligence For Drug Product Lifecycle Applications

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Artificial Intelligence for Health 4.0: Challenges and Applications

Artificial Intelligence for Health 4.0: Challenges and Applications
  • Author : Rishabha Malviya,Naveen Chilamkurti,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
  • Publisher : CRC Press
  • Release Date : 2023-03-10
  • Total pages : 420
  • ISBN : 9781000847024
  • File Size : 12,7 Mb
  • Total Download : 875
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Healthcare is one of the major success stories of our times. Medical science has improved rapidly, raising life expectancy around the world. However, as longevity increases, healthcare systems face growing demands for their services, rising costs, and a workforce that is struggling to meet the needs of its patients. Healthcare is one of the most critical sectors in the broader landscape of big data because of its fundamental role in a productive, thriving society. Building on automation, artificial intelligence (AI) has the potential to revolutionize healthcare and help address some of the challenges set out above. The application of AI to healthcare data can literally be a matter of life and death. AI can assist doctors, nurses, and other healthcare workers in their daily work. AI in healthcare can enhance preventive care and quality of life, produce more accurate diagnoses and treatment plans, and lead to better patient outcomes overall. This book gives insights into the latest developments of applications of AI in biomedicine, including disease diagnostics, pharmaceutical processing, patient care and monitoring, biomedical information, and biomedical research. It also presents an outline of the recent breakthroughs in the application of AI in healthcare, describes a roadmap to building effective, reliable, and safe AI systems, and discusses the possible future direction of AI augmented healthcare systems. AI has countless applications in healthcare. Whether it’s being used to discover links between genetic codes, to power surgical robots or even to maximize hospital efficiency; AI has been a boon to the healthcare industry.

Data Science, AI, and Machine Learning in Drug Development

Data Science, AI, and Machine Learning in Drug Development
  • Author : Harry Yang
  • Publisher : CRC Press
  • Release Date : 2022-10-04
  • Total pages : 335
  • ISBN : 9781000652673
  • File Size : 55,8 Mb
  • Total Download : 747
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The confluence of big data, artificial intelligence (AI), and machine learning (ML) has led to a paradigm shift in how innovative medicines are developed and healthcare delivered. To fully capitalize on these technological advances, it is essential to systematically harness data from diverse sources and leverage digital technologies and advanced analytics to enable data-driven decisions. Data science stands at a unique moment of opportunity to lead such a transformative change. Intended to be a single source of information, Data Science, AI, and Machine Learning in Drug Research and Development covers a wide range of topics on the changing landscape of drug R & D, emerging applications of big data, AI and ML in drug development, and the build of robust data science organizations to drive biopharmaceutical digital transformations. Features Provides a comprehensive review of challenges and opportunities as related to the applications of big data, AI, and ML in the entire spectrum of drug R & D Discusses regulatory developments in leveraging big data and advanced analytics in drug review and approval Offers a balanced approach to data science organization build Presents real-world examples of AI-powered solutions to a host of issues in the lifecycle of drug development Affords sufficient context for each problem and provides a detailed description of solutions suitable for practitioners with limited data science expertise

2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City

2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City
  • Author : Mohammed Atiquzzaman,Neil Yen,Zheng Xu
  • Publisher : Springer Nature
  • Release Date : 2022-01-01
  • Total pages : 1213
  • ISBN : 9789811674693
  • File Size : 37,9 Mb
  • Total Download : 212
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This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Impact of Smart Technologies and Artificial Intelligence (AI) Paving Path Towards Interdisciplinary Research in the Fields of Engineering, Arts, Humanities, Commerce, Economics, Social Sciences, Law and Management - Challenges and Opportunities

Impact of Smart Technologies and Artificial Intelligence (AI) Paving Path Towards Interdisciplinary Research in the Fields of Engineering, Arts, Humanities, Commerce, Economics, Social Sciences, Law and Management - Challenges and Opportunities
  • Author : Dr. Sundari Suresh,Dr. S. Radha Rammohan,Dr. K. Bharath
  • Publisher : Shanlax Publications
  • Release Date : 2023
  • Total pages : 332
  • ISBN : 9789391373122
  • File Size : 12,9 Mb
  • Total Download : 255
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This e-ISBN collection of 34 chapters draws on the diverse insights of the opportunities and emerging challenges, changes in the smart technologies and artificial intelligence{AI} paving path towards interdisciplinary research in the fields of Engineering, Arts, Humanities, Commerce, Economics, Social Sciences, Law and Management. It offers decision-makers a comprehensive picture of the impact of Smart technologies and Artificial Intelligence (AI) expected in the long-term changes, and inspiration to leverage the opportunities that offer to improve the state of education. Academicians must find and establish a new equilibrium and a new normal for learning amid the present challenges.

Advances in Computational Intelligence Techniques

Advances in Computational Intelligence Techniques
  • Author : Shruti Jain,Meenakshi Sood,Sudip Paul
  • Publisher : Springer Nature
  • Release Date : 2020-02-20
  • Total pages : 266
  • ISBN : 9789811526206
  • File Size : 32,7 Mb
  • Total Download : 672
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This book highlights recent advances in computational intelligence for signal processing, computing, imaging, artificial intelligence, and their applications. It offers support for researchers involved in designing decision support systems to promote the societal acceptance of ambient intelligence, and presents the latest research on diverse topics in intelligence technologies with the goal of advancing knowledge and applications in this rapidly evolving field. As such, it offers a valuable resource for researchers, developers and educators whose work involves recent advances and emerging technologies in computational intelligence.

The Future of Pharmaceutical Product Development and Research

The Future of Pharmaceutical Product Development and Research
  • Author : Anonim
  • Publisher : Academic Press
  • Release Date : 2020-09-02
  • Total pages : 974
  • ISBN : 9780128144558
  • File Size : 53,7 Mb
  • Total Download : 386
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The Future of Pharmaceutical Product Development and Research examines the latest developments in the pharmaceutical sciences, also highlighting key developments, research and future opportunities. Written by experts in the field, this volume in the Advances in Pharmaceutical Product Development and Research series deepens our understanding of the product development phase of drug discovery and drug development. Each chapter covers fundamental principles, advanced methodologies and technologies employed by pharmaceutical scientists, researchers and the pharmaceutical industry. The book focuses on excipients, radiopharmaceuticals, and how manufacturing should be conducted in an environment that follows Good Manufacturing Practice (GMP) guidelines. Researchers and students will find this book to be a comprehensive resource for those working in, and studying, pharmaceuticals, cosmetics, biotechnology, foods and related industries. Provides an overview of practical information for clinical trials Outlines how to ensure an environment that follows Good Manufacturing Practice (GMP) Examines recent developments and suggests future directions for drug production methods and techniques

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
  • Author : Adam Bohr,Kaveh Memarzadeh
  • Publisher : Academic Press
  • Release Date : 2020-06-21
  • Total pages : 378
  • ISBN : 9780128184394
  • File Size : 29,7 Mb
  • Total Download : 204
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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

Advances in Machine Learning Research and Application: 2013 Edition

Advances in Machine Learning Research and Application: 2013 Edition
  • Author : Anonim
  • Publisher : ScholarlyEditions
  • Release Date : 2013-06-21
  • Total pages : 1080
  • ISBN : 9781481670982
  • File Size : 24,8 Mb
  • Total Download : 970
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Advances in Machine Learning Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Artificial Intelligence. The editors have built Advances in Machine Learning Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Artificial Intelligence in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Machine Learning Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications

Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications
  • Author : Aboul Ella Hassanien,Roheet Bhatnagar,Ashraf Darwish
  • Publisher : Springer Nature
  • Release Date : 2020-08-31
  • Total pages : 311
  • ISBN : 9783030519209
  • File Size : 23,5 Mb
  • Total Download : 771
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This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Discussing theory, applications and research, it covers all aspects of artificial intelligence in the context of sustainable development.

Interface between Regulation and Statistics in Drug Development

Interface between Regulation and Statistics in Drug Development
  • Author : Demissie Alemayehu,Birol Emir,Michael Gaffney
  • Publisher : CRC Press
  • Release Date : 2020-11-11
  • Total pages : 146
  • ISBN : 9781000215700
  • File Size : 12,7 Mb
  • Total Download : 770
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With the critical role of statistics in the design, conduct, analysis and reporting of clinical trials or observational studies intended for regulatory purposes, numerous guidelines have been issued by regulatory authorities around the world focusing on statistical issues related to drug development. However, the available literature on this important topic is sporadic, and often not readily accessible to drug developers or regulatory personnel. This book provides a systematic exposition of the interplay between the two disciplines, including emerging themes pertaining to the acceleration of the development of pharmaceutical medicines to serve patients with unmet needs. Features: Regulatory and statistical interactions throughout the drug development continuum The critical role of the statistician in relation to the changing regulatory and healthcare landscapes Statistical issues that commonly arise in the course of drug development and regulatory interactions Trending topics in drug development, with emphasis on current regulatory thinking and the associated challenges and opportunities The book is designed to be accessible to readers with an intermediate knowledge of statistics, and can be a useful resource to statisticians, medical researchers, and regulatory personnel in drug development, as well as graduate students in the health sciences. The authors’ decades of experience in the pharmaceutical industry and academia, and extensive regulatory experience, comes through in the many examples throughout the book.

Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization

Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization
  • Author : Iyer, Sailesh Suryanarayan,Jain, Arti,Wang, John
  • Publisher : IGI Global
  • Release Date : 2021-12-24
  • Total pages : 411
  • ISBN : 9781799887881
  • File Size : 19,7 Mb
  • Total Download : 418
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The sudden outbreak of the COVID-19 pandemic has curbed human lifestyle by imposing restrictions on regular daily movements that had been taken for granted. Due to the pandemic, the welfare segment has received more attention, and every possible effort is being made to prioritize the services at the top. This can be made possible while using the latest tools, technologies, and resources that impact the human culture and welfare of well-being. Novel methods and devices that make the welfare services more efficient, adaptive, transparent, and cost-effective need to be explored. The Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization offers extensive research on lifestyle management and services that contribute towards indication, detection, conduction, protection, and technological enhancement including machine learning, deep learning, artificial intelligence, big data analytics, and visualization. It also provides mechanisms that can improve lifestyle monitoring and help in increasing the immunity of the human body. Covering topics such as big data, robot therapy, and wearable technology, it is ideal for students, researchers, technologists, IT specialists, computer engineers, systems engineers, data scientists, doctors, hospital administrators, engineers, academicians, and technology providers.

Model-informed drug development and evidence-based translational pharmacology

Model-informed drug development and evidence-based translational pharmacology
  • Author : Yu-Wei Lin,S. Y. Amy Cheung,Songwen Tan,Weiguo Li,Chuanpin Chen,Amal Kaddoumi,Xiu-Li Guo
  • Publisher : Frontiers Media SA
  • Release Date : 2023-01-12
  • Total pages : 162
  • ISBN : 9782832505878
  • File Size : 34,5 Mb
  • Total Download : 206
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PDF book entitled Model-informed drug development and evidence-based translational pharmacology written by Yu-Wei Lin,S. Y. Amy Cheung,Songwen Tan,Weiguo Li,Chuanpin Chen,Amal Kaddoumi,Xiu-Li Guo and published by Frontiers Media SA which was released on 2023-01-12 with total hardcover pages 162, the book become popular and critical acclaim.

Intelligent Systems for Healthcare Management and Delivery

Intelligent Systems for Healthcare Management and Delivery
  • Author : Bouchemal, Nardjes
  • Publisher : IGI Global
  • Release Date : 2018-12-07
  • Total pages : 377
  • ISBN : 9781522570721
  • File Size : 53,7 Mb
  • Total Download : 128
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With the growing use of new technologies and artificial intelligence (AI) applications, intelligent systems can be used to manage large amounts of existing data in healthcare domains. Having more intelligent methods for accessing data allows medical professionals to more efficiently identify the best medical practices and more concrete solutions for diagnosing and treating a multitude of rare diseases. Intelligent Systems for Healthcare Management and Delivery provides relevant and advanced methodological, technological, and scientific approaches related to the application of sophisticated exploitation of AI, as well as providing insight into the technologies and intelligent applications that have received growing attention in recent years such as medical imaging, EMR systems, and drug development assistance. This publication fosters a scientific debate for new healthcare intelligent systems and sophisticated approaches for enhanced healthcare services and is ideally designed for medical professionals, hospital staff, rehabilitation specialists, medical educators, and researchers.

Artificial Intelligence in Radiology, An Issue of Radiologic Clinics of North America, E-Book

Artificial Intelligence in Radiology, An Issue of Radiologic Clinics of North America, E-Book
  • Author : Daniel L. Rubin
  • Publisher : Elsevier Health Sciences
  • Release Date : 2021-10-27
  • Total pages : 240
  • ISBN : 9780323813563
  • File Size : 36,7 Mb
  • Total Download : 637
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Artificial Intelligence in Radiology, An Issue of Radiologic Clinics of North America, E-Book

The Future of Pharmaceuticals

The Future of Pharmaceuticals
  • Author : Sarfaraz K. Niazi
  • Publisher : CRC Press
  • Release Date : 2022-03-01
  • Total pages : 620
  • ISBN : 9781000458169
  • File Size : 23,8 Mb
  • Total Download : 853
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Before now, biological systems could only be expressed in terms of linear relationships, however, as knowledge grows and new techniques of analysis on biological systems is made available, we are realizing the non-linearity of these systems. The concepts and techniques of nonlinear analysis allow for more realistic and accurate models in science. The Future of Pharmaceuticals: A Nonlinear Analysis provides an opportunity to understand the non-linearity of biological systems and its application in various areas of science, primarily pharmaceutical sciences. This book will benefit professionals in pharmaceutical industries, academia, and policy who are interested in an entirely new approach to how we will treat disease in the future. Key Features: Addresses a new approach of nonlinear analysis. Applies a theory of projection to chalk out the future, instead of basing on linear evolution. Provides an opportunity to better understand the non-linearity in biological systems and its applications in various areas of science, primarily pharmaceutical sciences. Helps change the thought process for those looking for answers to their questions which they do not find in the linear relationship approach. Encourages a broader perspective for the creative process of drug development.

Artificial Intelligence in Management

Artificial Intelligence in Management
  • Author : Andrzej Wodecki
  • Publisher : Edward Elgar Publishing
  • Release Date : 2020-11-27
  • Total pages : 224
  • ISBN : 9781839104954
  • File Size : 16,8 Mb
  • Total Download : 946
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Autonomous systems are on the frontiers of Artificial Intelligence (AI) research, and they are slowly finding their business applications. Driven mostly by Reinforcement Learning (RL) methods (one of the most difficult, but also the most promising modern AI algorithms), autonomous systems help create self-learning and self-optimising systems, ranging from simple game-playing agents to robots able to efficiently act in completely new environments. Based on in-depth study of more than 100 projects, Andrzej Wodecki explores RL as a key component of modern digital technologies, its real-life applications to activities in a value chain and the ways in which it impacts different industries.

Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges

Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges
  • Author : I. Tiddi,F. Lécué,P. Hitzler
  • Publisher : IOS Press
  • Release Date : 2020-05-06
  • Total pages : 314
  • ISBN : 9781643680811
  • File Size : 33,5 Mb
  • Total Download : 846
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The latest advances in Artificial Intelligence and (deep) Machine Learning in particular revealed a major drawback of modern intelligent systems, namely the inability to explain their decisions in a way that humans can easily understand. While eXplainable AI rapidly became an active area of research in response to this need for improved understandability and trustworthiness, the field of Knowledge Representation and Reasoning (KRR) has on the other hand a long-standing tradition in managing information in a symbolic, human-understandable form. This book provides the first comprehensive collection of research contributions on the role of knowledge graphs for eXplainable AI (KG4XAI), and the papers included here present academic and industrial research focused on the theory, methods and implementations of AI systems that use structured knowledge to generate reliable explanations. Introductory material on knowledge graphs is included for those readers with only a minimal background in the field, as well as specific chapters devoted to advanced methods, applications and case-studies that use knowledge graphs as a part of knowledge-based, explainable systems (KBX-systems). The final chapters explore current challenges and future research directions in the area of knowledge graphs for eXplainable AI. The book not only provides a scholarly, state-of-the-art overview of research in this subject area, but also fosters the hybrid combination of symbolic and subsymbolic AI methods, and will be of interest to all those working in the field.

Medical Applications of Artificial Intelligence

Medical Applications of Artificial Intelligence
  • Author : Arvin Agah
  • Publisher : CRC Press
  • Release Date : 2013-11-06
  • Total pages : 512
  • ISBN : 9781439884331
  • File Size : 47,9 Mb
  • Total Download : 333
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Enhanced, more reliable, and better understood than in the past, artificial intelligence (AI) systems can make providing healthcare more accurate, affordable, accessible, consistent, and efficient. However, AI technologies have not been as well integrated into medicine as predicted. In order to succeed, medical and computational scientists must develop hybrid systems that can effectively and efficiently integrate the experience of medical care professionals with capabilities of AI systems. After providing a general overview of artificial intelligence concepts, tools, and techniques, Medical Applications of Artificial Intelligence reviews the research, focusing on state-of-the-art projects in the field. The book captures the breadth and depth of the medical applications of artificial intelligence, exploring new developments and persistent challenges.

Research Anthology on Cross-Disciplinary Designs and Applications of Automation

Research Anthology on Cross-Disciplinary Designs and Applications of Automation
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2021-10-29
  • Total pages : 1054
  • ISBN : 9781668436950
  • File Size : 20,8 Mb
  • Total Download : 788
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Throughout human history, technological advancements have been made for the ease of human labor. With our most recent advancements, it has been the work of scholars to discover ways for machines to take over a large part of this labor and reduce human intervention. These advancements may become essential processes to nearly every industry. It is essential to be knowledgeable about automation so that it may be applied. Research Anthology on Cross-Disciplinary Designs and Applications of Automation is a comprehensive resource on the emerging designs and application of automation. This collection features a number of authors spanning multiple disciplines such as home automation, healthcare automation, government automation, and more. Covering topics such as human-machine interaction, trust calibration, and sensors, this research anthology is an excellent resource for technologists, IT specialists, computer engineers, systems and software engineers, manufacturers, engineers, government officials, professors, students, healthcare administration, managers, CEOs, researchers, and academicians.

Data Mining

Data Mining
  • Author : Ian H. Witten,Eibe Frank,Mark A. Hall,Christopher J. Pal
  • Publisher : Morgan Kaufmann
  • Release Date : 2016-10-01
  • Total pages : 654
  • ISBN : 9780128043578
  • File Size : 21,5 Mb
  • Total Download : 289
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Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research. Please visit the book companion website at http://www.cs.waikato.ac.nz/ml/weka/book.html It contains Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc. Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface Includes open-access online courses that introduce practical applications of the material in the book

Artificial Intelligence in Cardiothoracic Imaging

Artificial Intelligence in Cardiothoracic Imaging
  • Author : Carlo N. De Cecco,Marly van Assen,Tim Leiner
  • Publisher : Springer Nature
  • Release Date : 2022-04-22
  • Total pages : 595
  • ISBN : 9783030920876
  • File Size : 54,9 Mb
  • Total Download : 341
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This book provides an overview of current and potential applications of artificial intelligence (AI) for cardiothoracic imaging. Most AI systems used in medical imaging are data-driven and based on supervised machine learning. Clinicians and AI specialists can contribute to the development of an AI system in different ways, focusing on their respective strengths. Unfortunately, communication between these two sides is far from fluent and, from time to time, they speak completely different languages. Mutual understanding and collaboration are imperative because the medical system is based on physicians’ ability to take well-informed decisions and convey their reasoning to colleagues and patients. This book offers unique insights and informative chapters on the use of AI for cardiothoracic imaging from both the technical and clinical perspective. It is also a single comprehensive source that provides a complete overview of the entire process of the development and use of AI in clinical practice for cardiothoracic imaging. The book contains chapters focused on cardiac and thoracic applications as well more general topics on the potentials and pitfalls of AI in medical imaging. Separate chapters will discuss the valorization, regulations surrounding AI, cost-effectiveness, and future perspective for different countries and continents. This book is an ideal guide for clinicians (radiologists, cardiologists etc.) interested in working with AI, whether in a research setting developing new AI applications or in a clinical setting using AI algorithms in clinical practice. The book also provides clinical insights and overviews for AI specialists who want to develop clinically relevant AI applications.