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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032323272 ISBN 13: 9781032323275
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032323272 ISBN 13: 9781032323275
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032323272 ISBN 13: 9781032323275
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032323272 ISBN 13: 9781032323275
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. First edition Includes bibliographical references and index.
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032323272 ISBN 13: 9781032323275
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032323272 ISBN 13: 9781032323275
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032774452 ISBN 13: 9781032774459
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. This book looks at the integration of blockchain technology in healthcare settings, focusing on its potential to address security and privacy concerns of medical applications. From fragmented electronic health records (EHRs) to data breaches and interoperability issues, innovative solutions are necessary to unlock the full potential of health information and prevent the recurrence of such issues.Blockchain offers a promising framework for addressing these challenges. Its decentralized, tamper-resistant nature holds the key to building trust and transparency in healthcare data management. By leveraging blockchain technology, secure, interoperable systems empower patients to take control of their health information while facilitating a seamless collaboration among healthcare providers. Throughout this book, the authors explore the fundamental principles of blockchain technology and its applications within the healthcare landscape. From EHRs and patient consent management to pharmaceutical supply chains and clinical research, this book examines how blockchain can drive efficiency, enhance security, and ultimately improve patient outcomes.This book is intended for a broad audience, including healthcare professionals, patients, policymakers, and anyone interested in the intersection of technology and healthcare.
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032323272 ISBN 13: 9781032323275
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032323272 ISBN 13: 9781032323275
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032323272 ISBN 13: 9781032323275
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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 580.
Condition: New.
Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032774452 ISBN 13: 9781032774459
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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Paperback. Condition: new. Paperback. Our proposed book emerges in response to the critical need for an interdisciplinary resource that encapsulates the burgeoning role of artificial intelligence (AI) in reshaping drug discovery and telemedicine. As these sectors witness transformative changes driven by AI technologies, there's a pressing demand for a comprehensive guide that navigates through these advancements, offering insights, methodologies, and practical applications to professionals at the forefront of healthcare and pharmaceutical research. At its core, the book delves into the intricate ways in which AI and machine learning algorithms are being harnessed to streamline the drug development process, from initial discovery through to clinical trials, and how these technologies are concurrently revolutionizing the delivery of healthcare services via telemedicine. Specific focus areas include the application of deep learning in identifying novel drug candidates, AI-driven predictive models for pharmacokinetics and pharmacodynamics, automation in laboratory research, and the integration of AI in diagnostic processes, personalized medicine, and patient monitoring systems. Each chapter not only explores current state-of-the-art methodologies and case studies but also critically examines challenges, such as data privacy, ethical considerations, and the need for robust, interpretable models that can be trusted by healthcare professionals and patients alike. Furthermore, the book places a strong emphasis on the synergistic potential of combining AI with telemedicine, illustrating how these technologies can expand access to healthcare, improve the accuracy of remote diagnoses, and enable continuous, data-driven patient care. By providing a panoramic view of current trends, technological innovations, and future directions, the book aims to serve as a pivotal reference for scientists, researchers, clinicians, and policymakers involved in drug discovery and healthcare delivery. In conclusion, this book stands as an essential compendium for specialists seeking to navigate the complexities and harness the opportunities presented by AI in the pharmaceutical and healthcare industries. It offers a critical, in-depth exploration of the transformative impact of AI technologies, underscoring their relevance and potential to dramatically enhance drug discovery and telemedicine practices. This publication not only equips its target audience with the knowledge to lead innovation in their fields but also engages with the broader ethical, social, and practical implications of AI, making it an invaluable resource for advancing towards more effective, efficient, and accessible healthcare solutions. The book is significant for several reasons: Interdisciplinary Appeal: It serves as a critical resource for professionals and researchers across the fields of computer science, pharmaceutical sciences, and healthcare, facilitating a deeper understanding of AI's potential and fostering interdisciplinary collaborations. Innovation in Drug Discovery: By highlighting novel AI methodologies in drug discovery, the book offers insights into how these technologies can shorten the development timelines, reduce costs, and increase the success rates of new therapies, which is crucial for addressing unmet medical needs. Revolutionizing Telemedicine: The detailed discussion on AI's role in telemedicine illustrates how these advancements can enhance access to healthcare, improve the quality of care, and make healthcare systems more efficient, especially in remote and underserved areas. Ethical and Regulatory Considerations: It likely addresses the ethical, privacy, and regulatory challenges associated with implementing AI in healthcare, offering guidelines for navi Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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