Author: Xu-jie Zhou
Publisher: Frontiers Media SA
ISBN: 2889765830
Category : Medical
Languages : en
Pages : 227

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Book Description
Topic Editor Dr. MacLeod is employed by Janssen. All other Topic Editors declare no competing interests with regards to the Research Topic subject.

Author: Michael Mahler
Publisher: Academic Press
ISBN: 032385432X
Category : Science
Languages : en
Pages : 300

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Book Description
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

Author: Louis J. Catania
Publisher: CRC Press
ISBN: 1000369919
Category : Computers
Languages : en
Pages : 106

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Book Description
The bioscience of immunology has given us a better understanding of human health and disease. Artificial intelligence (AI) has elevated that understanding and its applications in immunology to new levels. Together, AI for immunology is an advancing horizon in health care, disease diagnosis, and prevention. From the simple cold to the most advanced autoimmune disorders and now pandemics, AI for immunology is unlocking the causes and cures. Key features: A highly accessible and wide-ranging short introduction to AI for immunology Includes a chapter on COVID-19 and pandemics Includes scientific and clinical considerations, as well as immune and autoimmune diseases

Author: Alfredo Cesario
Publisher: Springer Nature
ISBN: 3031326148
Category : Science
Languages : en
Pages : 275

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Book Description
The book provides a multidisciplinary outlook on using Artificial Intelligence (AI)-based solutions in the field of Personalized Medicine and its transitioning towards Personalized Digital Medicine. The first section integrates different perspectives on AI-based solutions and highlights their potential in biomedical research and patient care. In the second section, the authors present several real-world examples that demonstrate the successful use of AI technologies in various contexts. These include examples from digital therapeutics, in silico clinical trials, and network pharmacology. In the final section of the book, the authors explore future directions in AI-enhanced biomedical technologies and discuss emerging technologies such as blockchain, quantum computing and the “metaverse”. The book includes discussions on the ethical, regulatory, and social implications for an AI-based personalized medicine. The integration of heterogeneous disciplines brings together multiple stakeholders and decision makers involved in the personalization of care. Clinicians, students, and researchers from academia and the industry can benefit from this book, since it provides foundational knowledge to drive advances in personalized biomedical research and health care.

Author: Khang, Alex
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 585

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Book Description
In the post-COVID-19 healthcare landscape, the demand for smart healthcare solutions and precision medicine systems has grown significantly. To address these challenges, the book AI and IoT-Based Technologies for Precision Medicine provides a comprehensive resource for doctors, researchers, engineers, and students. By leveraging AI and IoT technologies, the book equips healthcare professionals with advanced tools and methodologies for predictive disease analysis, informed decision-making, and other aspects of precision medicine. This resource bridges the gap between theory and practice, exploring concepts like machine learning, deep learning, computer vision, AI-integrated applications, IoT-based technologies, healthcare data analytics, and biotechnology applications. Through this, the book empowers healthcare practitioners to pioneer innovative solutions that enhance efficiency, accuracy, and security in medical practices. AI and IoT-Based Technologies for Precision Medicine not only offer insights into the potential of AI-powered applications and IoT-equipped techniques in smart healthcare but also foster collaboration among healthcare scholars and professionals. This authoritative guide encourages knowledge sharing and collaboration to harness the transformative potential of AI and IoT, leading to revolutionary advancements in medical practices and healthcare services. With this book as a guide, readers can navigate the evolving landscape of high-tech medicine, taking confident steps toward a cutting-edge and precise medical ecosystem.

Author: Debmalya Barh
Publisher: Academic Press
ISBN: 0128173386
Category : Business & Economics
Languages : en
Pages : 544

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Book Description
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

Author: Mark Chang
Publisher: CRC Press
ISBN: 1000767302
Category : Business & Economics
Languages : en
Pages : 235

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Book Description
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.

Author: Marc C. Hochberg
Publisher: Elsevier Health Sciences
ISBN: 0702081345
Category : Medical
Languages : en
Pages : 2123

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Book Description
Covering both the scientific basis of rheumatology and practical, clinical information for rheumatologists and trainees, Rheumatology, 8th Edition, remains a leading text in this fast-changing field. Dr. Marc Hochberg and his team of worldwide editors and authors keep you abreast of recent advances in the field— all in a user-friendly, accessible manner. Fully updated from cover to cover, this two-volume text is designed to meet the needs of all practicing and academic rheumatologists as well as arthritis-related health care professionals and scientists interested in rheumatic and musculoskeletal diseases. Covers the epidemiology, pathogenesis, clinical manifestations, therapeutic approach, and management of all major as well as rarely encountered rheumatic and musculoskeletal diseases. Discusses clinical examination, imaging principles, differential diagnosis, established and novel therapies, perioperative evaluation, pain management, basic science, and genetics of rheumatic and musculoskeletal diseases. Uses a consistent, logical, reader-friendly format with templated chapters, concise text, and large-scale, state-of-the-art illustrations for efficient visual reference. Contains new chapters covering pre-clinical disease and how to address these patients, common comorbidities in rheumatoid arthritis; emerging therapies for systemic sclerosis; immune mediated complications of checkpoint inhibitors; the epidemiology of COVID-19 and rheumatic and musculoskeletal diseases, emerging treatments for osteoarthritis, and big data analytics. Provides updates to key topics such as systems biology and its impact on our understanding of the pathogenesis of rheumatic and musculoskeletal diseases, the microbiome in rheumatic musculoskeletal diseases, how to manage chronic pain in the patient with a rheumatic disease, drugs and reproductive health, and emerging therapies for patients with RA, SLE, spondyloarthritis, inflammatory muscle disease, and vasculitis. Shares the knowledge and expertise of numerous new contributing authors, as well as new co-editor Dr. Désirée van der Heijde, who is an expert in psoriatic arthritis, spondyloarthritis, imaging, and clinical epidemiology. Provides access to concise videos depicting the use of ultrasound for diagnosis and treatment. Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices. If you encounter issues with your eBook please contact Elsevier eBook+ support via [email protected].

Author: Paul Emery
Publisher:
ISBN: 9781416027676
Category : Rheumatoid arthritis
Languages : en
Pages : 0

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Book Description
This issue covers the latest developments in the understanding of rheumatoid arthritis at the early stage. Treatments such as with newer biologic agents and conventional disease-modifying antirheumatic drugs are reviewed. Also included are articles on imaging modalities as a means of identifying those in the early stages and monitoring response to treatment.

Author: Arjun Panesar
Publisher: Apress
ISBN: 9781484291610
Category : Computers
Languages : en
Pages : 0

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Book Description
This book provides a comprehensive explanation of precision (i.e., personalized) healthcare and explores how it can be advanced through artificial intelligence (AI) and other data-driven technologies. From improving the diagnosis, treatment, and monitoring of many medical conditions to the effective implementation of precise patient care, this book will help you understand datasets produced from digital health technologies and IoT and teach you how to employ analytical methods such as convolutional neural networks and deep learning to analyze that data. You’ll also see how this data-driven approach can enhance and democratize value-based healthcare delivery. Additionally, you’ll learn how the convergence of AI and precision health is revolutionizing healthcare, including some of the most difficult challenges facing precision medicine, such as ethics, bias, privacy, and health equity. Precision Health and Artificial Intelligence provides the groundwork for clinicians, engineers, bioinformaticians, and healthcare enthusiasts to apply AI to healthcare. What You Will Learn Understand the components required to facilitate precision health and personalized care Apply and implement precision health systems Overcome the challenges of delivering precision healthcare at scale Reconcile ethical and moral implications of delivering precision healthcare Gain insight into the hurdles providers face while implementing precision healthcare Who This Book Is For Healthcare professionals, clinicians, engineers, bioinformaticians, chief information officers (CIOs), and students