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Artificial Intelligence For Drug Development Precision Medicine And Healthcare
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Book Synopsis Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare by : Mark Chang
Download or read book Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare written by Mark Chang and published by CRC Press. This book was released on 2020-05-12 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. · Introduces the similarity principle and related AI methods for both big and small data problems. · Offers a balance of statistical and algorithm-based approaches to AI. · Provides examples and real-world applications with hands-on R code. · Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.
Book Synopsis Precision Medicine and Artificial Intelligence by : Michael Mahler
Download or read book Precision Medicine and Artificial Intelligence written by Michael Mahler and published by Academic Press. This book was released on 2021-03-12 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on artificial intelligence (AI), its link to precision medicine (PM), and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as AI has gained significant attention during the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems have enabled the generation of large datasets, making autoimmunity an ideal target for AI and precision medicine. More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large datasets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options. Allows the readers to gain an overview on precision medicine for autoimmune diseases leveraging AI solutions Provides background, milestone and examples of precision medicine Outlines the paradigm shift towards precision medicine driven by value-based systems Discusses future applications of precision medicine research using AI Other aspects covered in the book include regulatory insights, data analytics and visualization, types of biomarkers as well as the role of the patient in precision medicine
Book Synopsis Artificial Intelligence and Machine Learning in Healthcare by : Ankur Saxena
Download or read book Artificial Intelligence and Machine Learning in Healthcare written by Ankur Saxena and published by Springer Nature. This book was released on 2021-05-06 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed with reference to specific diseases like diabetes mellitus, cancer, mycobacterium tuberculosis, and Covid-19. The chapters provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and artificial intelligence. The book also touches upon precision medicine, personalized medicine, and transfer learning, with the real examples. Further, it also discusses the use of machine learning and artificial intelligence for visualization, prediction, detection, and diagnosis of Covid -19. This book is a valuable source of information for programmers, healthcare professionals, and researchers interested in understanding the applications of artificial intelligence and machine learning in healthcare.
Book Synopsis AI for Drug Development and Well-being by : Mark Chang
Download or read book AI for Drug Development and Well-being written by Mark Chang and published by . This book was released on 2020-09-09 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is transforming the practice of medicine. It is helping doctors diagnose patients more accurately, predict treatment effects on individuals, and recommend better treatments. AI is also transforming the drug discovery and development process, helping pharmaceutical researchers to identify and design active drug candidates, and reducing the cost of the clinical testing phase. Recently, the FDA moved toward a new, tailored review framework for artificial intelligence-based medical devices (Gottlieb, April 2019).This book is intended for a broad readership: sufficiently straightforward for college freshmen and informative enough for researchers. Chapter 1 gives a gentle introduction to the five ML categories of learning: supervised, unsupervised, reinforcement, evolutionary and swarm intelligence. Chapters 2 through 6 discuss the key concepts of the main methods in each of the five AI categories and their applications in pharmaceutical research & development and healthcare. Chapter 7 provides a state-of-the-art review of AI applications in prescription drug discovery, development, pharmacovigilance, and healthcare. Chapter 8 discusses artificial general intelligence and its controversies, challenges, and likely future directions. A few equations are included to effectively deliver key concepts and 100 key references are cited to meet researchers' needs. The book is a simplified version of my previous book: Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare. Readers who want to get hands on experiences may explore the book with computer code in R.
Book Synopsis Artificial Intelligence in Precision Health by : Debmalya Barh
Download or read book Artificial Intelligence in Precision Health written by Debmalya Barh and published by Academic Press. This book was released on 2020-03-04 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyze AI products related to precision healthcare already available. This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health. Provides computational approaches used in artificial intelligence easily understandable for non-computer specialists Gives know-how and real successful cases of artificial intelligence approaches in predictive models, modeling disease physiology, and public health surveillance Discusses the applicability of AI on multiple areas, such as drug discovery, clinical trials, radiology, surgery, patient care and clinical decision support
Book Synopsis A Textbook On ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE, DRUG DEVELOPMENT, AND HEALTHCARE by : Dr.Krishnaraju Venkatesan
Download or read book A Textbook On ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE, DRUG DEVELOPMENT, AND HEALTHCARE written by Dr.Krishnaraju Venkatesan and published by JEC PUBLICATION. This book was released on with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: I would like to take this opportunity to expose you to the topic of "Artificial Intelligence in Precision Medicine, Drug Development, and Healthcare." Artificial intelligence (AI) is one of the most revolutionary forces that will shape the future of medicine and healthcare delivery, and this book is a comprehensive investigation of that force. In recent years, artificial intelligence has emerged as a strong technology that has the ability to revolutionise every area of the healthcare ecosystem. This includes personalized treatment plans, medication discovery and development, and even the delivery of healthcare services. At the convergence of artificial intelligence and precision medicine lies the potential of healthcare solutions that are more effective, efficient, and equitable, and that are personalized to the specific requirements of each individual patient. The purpose of this book is to take us on a trip to reveal the intricacies of artificial intelligence in the healthcare industry by investigating its applications, problems, and ethical implications. In this article, we delve into the complexities of precision medicine, which is using artificial intelligence to provide clinicians with insights that enable them to give customised treatments based on a patient's unique genetic composition, lifestyle characteristics, and environmental impacts. In addition, we investigate the role that artificial intelligence plays in the process of drug discovery and development. This is a process in which sophisticated algorithms and machine learning models speed up the process of identifying innovative drug candidates, optimise the design of clinical trials, and improve the safety and effectiveness of pharmaceutical interventions. A new era of innovation is being ushered in by artificial intelligence, which is transforming the landscape of the pharmaceutical sector in a variety of ways, including medication repurposing and predictive modelling of drug toxicity.
Book Synopsis Artificial Intelligence for Medicine by : Shai Ben- David
Download or read book Artificial Intelligence for Medicine written by Shai Ben- David and published by Elsevier. This book was released on 2024-03-14 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Medicine: An Applied Reference for Methods and Applications introduces readers to the methodology and AI/ML algorithms as well as cutting-edge applications to medicine, such as cancer, precision medicine, critical care, personalized medicine, telemedicine, drug discovery, molecular characterization, and patient mental health. Research in medicine and tailored clinical treatment are being quickly transformed by artificial intelligence (AI) and machine learning (ML). The content in this book is tailored to the reader's needs in terms of both type and fundamentals. It covers the current ethical issues and potential developments in this field. Artificial Intelligence for Medicine is beneficial for academics, professionals in the IT industry, educators, students, and anyone else involved in the use and development of AI in the medical field. Covers the basic concepts of Artificial Intelligence and Machine Learning, methods and practices, and advanced topics and applications to clinical and precision medicine Presents readers with an understanding of how AI is revolutionizing medicine by demonstrating the applications of computational intelligence to the field, along with an awareness of how AI can improve upon traditional medical structures Provides researchers, practitioners, and project stakeholders with a complete guide for applying AI techniques in their projects and solutions
Book Synopsis Artificial Intelligence in Drug Discovery by : Nathan Brown
Download or read book Artificial Intelligence in Drug Discovery written by Nathan Brown and published by Royal Society of Chemistry. This book was released on 2020-11-04 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.
Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr
Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Artificial Intelligence in Oncology Drug Discovery and Development by : John Cassidy
Download or read book Artificial Intelligence in Oncology Drug Discovery and Development written by John Cassidy and published by BoD – Books on Demand. This book was released on 2020-09-09 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: There exists a profound conflict at the heart of oncology drug development. The efficiency of the drug development process is falling, leading to higher costs per approved drug, at the same time personalised medicine is limiting the target market of each new medicine. Even as the global economic burden of cancer increases, the current paradigm in drug development is unsustainable. In this book, we discuss the development of techniques in machine learning for improving the efficiency of oncology drug development and delivering cost-effective precision treatment. We consider how to structure data for drug repurposing and target identification, how to improve clinical trials and how patients may view artificial intelligence.
Book Synopsis Artificial Intelligence for Medicine by : Yoshiki Oshida
Download or read book Artificial Intelligence for Medicine written by Yoshiki Oshida and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-10-11 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of artificial intelligence (AI) in various fields is of major importance to improve the use of resourses and time. This book provides an analysis of how AI is used in both the medical field and beyond. Topics that will be covered are bioinformatics, biostatistics, dentistry, diagnosis and prognosis, smart materials, and drug discovery as they intersect with AI. Also, an outlook of the future of an AI-assisted society will be explored.
Book Synopsis AI for Medical Science and Well-Being by : Mark Chang
Download or read book AI for Medical Science and Well-Being written by Mark Chang and published by . This book was released on 2020-10 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is transforming the practice of medicine. It is helping doctors diagnose patients more accurately, predict treatment effects on individuals, and recommend better treatments. AI is also transforming the drug discovery and development process, helping pharmaceutical researchers to identify and design active drug candidates, and reducing the cost of the clinical testing phase. Recently, the FDA moved toward a new, tailored review framework for artificial intelligence-based medical devices (Gottlieb, April 2019).This book is intended for a broad readership: sufficiently straightforward for college freshmen and informative enough for researchers. Chapter 1 gives a gentle introduction to the five ML categories of learning: supervised, unsupervised, reinforcement, evolutionary and swarm intelligence. Chapters 2 through 6 discuss the key concepts of the main methods in each of the five AI categories and their applications in pharmaceutical research & development and healthcare. Chapter 7 provides a state-of-the-art review of AI applications in prescription drug discovery, development, pharmacovigilance, and healthcare. Chapter 8 discusses artificial general intelligence and its controversies, challenges, and likely future directions. A few equations are included to effectively deliver key concepts and 100 key references are cited to meet researchers' needs. The book is a simplified version of my previous book: Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare. Readers who want to get hands on experiences may explore the book with computer code in R.
Book Synopsis Artificial Intelligence for Precision Medicine by : Jun Deng
Download or read book Artificial Intelligence for Precision Medicine written by Jun Deng and published by Frontiers Media SA. This book was released on 2022-02-16 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence and Machine Learning in Drug Design and Development by : Abhirup Khanna
Download or read book Artificial Intelligence and Machine Learning in Drug Design and Development written by Abhirup Khanna and published by John Wiley & Sons. This book was released on 2024-06-21 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.
Book Synopsis Artificial Intelligence in Healthcare by : Santos Costa
Download or read book Artificial Intelligence in Healthcare written by Santos Costa and published by Santos Costa. This book was released on 2023-10-14 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the exciting world of Artificial Intelligence (AI) applied to healthcare in this comprehensive and captivating book. "Artificial Intelligence in Healthcare: Transforming the Future of Healthcare" is a fascinating journey through the technological advances that are revolutionizing the medical industry and enhancing healthcare delivery. From AI's history in healthcare to emerging trends and future prospects, this e-book explores how intelligent algorithms are shaping medicine and delivering more accurate diagnoses, personalized treatments, and continuous patient monitoring. With illustrative examples and detailed approaches, readers will be guided by the multiple aspects in which AI is positively impacting medicine and health around the world. Unraveling the fundamentals of AI and its techniques applied to healthcare, this book dives into how neural networks and machine learning have enabled faster and more effective drug discoveries, as well as driving precision medicine to treat diseases in a personalized way. The reader will also explore how AI has been used to improve the diagnosis of diseases, including its application in imaging and the development of virtual assistants and chatbots to assist patients and healthcare professionals. The ethics and safety of AI in healthcare are discussed in detail, highlighting the importance of clear regulations, patient data privacy, and transparency in AI systems. As AI continues to advance and challenge the paradigms of traditional medicine, this book encourages healthcare professionals, researchers, and technology enthusiasts to venture into an ongoing exploration of this exciting field. After all, the future of healthcare is being shaped by collaboration between humans and intelligent machines. Get ready for an exciting and insightful intellectual journey as “Artificial Intelligence in Healthcare: Transforming the Future of Healthcare" will guide you through the endless possibilities AI offers to achieve a healthier and more promising world.
Book Synopsis Predictive Medicine by : Emmanuel Fombu
Download or read book Predictive Medicine written by Emmanuel Fombu and published by Business Expert Press. This book was released on 2020-01-10 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter. Artificial intelligence, machine learning, natural language processing, robotics, big data and other new technologies are ready to revolutionize the way we look at healthcare. But if we want them to achieve their full potential, we’ll need leaders who understand these new tools and who have long-term strategies in place to take advantage of them. This book will help you to become one of those leaders. Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter. It’s a call-to-action for a new generation of health leaders and a roadmap to help them usher in a brighter future.
Book Synopsis Artificial Intelligence and Machine Learning in Healthcare by : Ankur Saxena
Download or read book Artificial Intelligence and Machine Learning in Healthcare written by Ankur Saxena and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed with reference to specific diseases like diabetes mellitus, cancer, mycobacterium tuberculosis, and Covid-19. The chapters provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and artificial intelligence. The book also touches upon precision medicine, personalized medicine, and transfer learning, with the real examples. Further, it also discusses the use of machine learning and artificial intelligence for visualization, prediction, detection, and diagnosis of Covid -19. This book is a valuable source of information for programmers, healthcare professionals, and researchers interested in understanding the applications of artificial intelligence and machine learning in healthcare.
