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AI-Powered Digital Twins for Predictive Healthcare

Creating Virtual Replicas of Humans

Balasubramaniam S. Seifedine Kadry

$884.95   $707.62

Paperback

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English
IGI Global
28 March 2025
AI-powered digital twins for predictive healthcare may revolutionize monitoring, diagnosis, and treatment of health conditions. By leveraging AI, machine learning, and data, to utilizing wearable devices, medical imaging, genetic profiles, and clinical records, digital twins can simulate a wide range of health scenarios and predict outcomes with accuracy. This innovation allows for proactive, individualized care by forecasting disease risks, optimizing treatment plans, and enabling real-time health monitoring. AI-driven digital twins offer insights into how various treatments, environmental factors, and lifestyle changes might affect long-term health. As healthcare becomes data-driven, the potential of AI-powered digital twins to transform patient care may reduce hospital admissions, improve outcomes, and reshape the future of medicine. AI-Powered Digital Twins for Predictive Healthcare: Creating Virtual Replicas of Humans explores the science, technology, and real-world applications behind digital twins. It examines how these digital replicas are used for predictive healthcare, accelerating drug discovery, simulating surgical outcomes, and personalizing therapeutic interventions based on real-time, AI-driven insights. This book covers topics such as digital twins, healthcare monitoring, and ethics and law, and is a useful resource engineers, healthcare professionals, academicians, researchers, and scientists.
Edited by:   ,
Imprint:   IGI Global
Country of Publication:   United States [Currently unable to ship to USA: see Shipping Info]
Dimensions:   Height: 254mm,  Width: 178mm, 
ISBN:   9798337305394
Pages:   502
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Balasubramaniam S (IEEE Senior Member) is working as an Assistant Professor in School of Computer Science and Engineering, Kerala University of Digital Sciences, Innovation and Technology (Formerly IIITM-K), Digital University Kerala, Thiruvananthapuram, Kerala, India. Before joining Digital University Kerala, he served as a Senior Associate Professor at the School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Chennai, Tamilnadu, India. He has totally around 15+ years of experience in teaching, research and industry. He has completed his Post Doctoral Research in Department of Applied Data Science, Noroff University College, Kristiansand, Norway. He holds a Ph.D degree in Computer Science and Engineering from Anna University, Chennai, India in 2015. He has published nearly 25+ research papers in reputed SCI/WoS/Scopus indexed Journals. He has also granted with 1 Australian patent and 2 Indian Patents and published 2 Indian patents. He has presented papers at conferences, contributed chapters to the edited books and editor in few books published by international publishers. His research and publication interests include machine learning and deep learning-based disease diagnosis, cloud computing security, Generative AI and Electric Vehicles. Seifedine Kadry Professor of Data Science - ABET CAC Commissioner - ForeignExpert Agency for Quality of Higher Education of North Macedonia,Georgia, Kosovo, and CTI France. Kristiansand, Agder, Norway Summary Dr. Seifedine Kadry received in 2007 the Ph.D. degree in Applied Mathematics from the Université Blaise Pascal (Clermont-II) -Clermont-Ferrand in France. Currently, he is an Professor of Data Science with Beirut Arab University in Lebanon. His research focuses are Data Science, AI applications, system prognostics, stochastic systems, and probability and reliability analysis. In addition, he serves as Editor-in-Chief of the International Journal of Quality Control and Standards in Science and Engineering. He had an EEE Senior Member, and IET Fellow.

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