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    Advances in Deep Generative Models for Healthcare and Medical Applications

Advances in Deep Generative Models for Healthcare and Medical Applications

Balasubramaniam S
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      This book provides a platform for research on deep generative models, with an emphasis on its healthcare applications. The book addresses the unanswered questions that stop these approaches from making a huge difference in real-world clinical practice. The goal of this book is to bring together a wide range of methodologies which are using generative models in health care-related contexts. The book leverages the recent methodological advancements in deep generative models to address critical health-care challenges across all data-types, paving the way for their practical integration into the healthcare system and elevate their impact on the future of healthcare.

      Format: Hardback CONTRIBUTORS: Balasubramaniam S EAN: 9781032988955 COUNTRY: United Kingdom PAGES: 276 WEIGHT: HEIGHT: 234 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2025-12-09 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, COMPUTERS / Data Science / Machine Learning, COMPUTERS / Artificial Intelligence / Generative AI, MEDICAL / Health Care Delivery, MEDICAL / Nursing / Care Plans, MEDICAL / Informatics, TECHNOLOGY & ENGINEERING / Biomedical WIDTH: 156 mm SPINE:

      Book Themes:

      Public ownership / nationalization, Personal and public health / health education, Health systems and services, Infectious and contagious diseases, Biomedical engineering, Electrical engineering, Automatic control engineering, Digital and information technologies: Health and safety aspects, Digital and information technologies: social and ethical aspects, Digital and information technologies: Legal aspects, Algorithms and data structures, Artificial intelligence

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      Balasubramaniam S (IEEE Senior Member) is an Assistant Professor in Kerala University of Digital Sciences, Innovation and Technology (Formerly IIITM-K), Digital University Kerala, Thiruvananthapuram, India. Before joining Digital University Kerala, he was a Senior Associate Professor at the School of Computer Science and Engineering at the Vellore Institute of Technology (VIT), Chennai, India. He has around 15+ years of experience in teaching, research and industry. He has completed his postdoctoral research in the Department of Applied Data Science, Noroff University College, Kristiansand, Norway. He has a PhD in Computer Science and Engineering from Anna University, Chennai, India in 2015 and has published 25+ research papers in reputed SCI/WoS/Scopus indexed journals. He has also been granted 1 Australian patent and 2 Indian Patents and published 2 Indian patents. He has presented papers at conferences, contributed to and edited books published by global publishers. His research and publication interests include machine learning, deep and federated learning-based disease diagnosis, cloud computing security, Generative AI, and electric vehicles.Seifedine Kadry has a bachelor's degree in 1999 from Lebanese University, MS degree in 2002 from Reims University, France and EPFL, Lausanne, Switzerland, PhD in 2007 from Blaise Pascal University, France, HDR degree in 2017 from Rouen University, France. At present his research focuses on data science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. He is a full professor of data science at Noroff University College, Norway and Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.

      This book provides a platform for research on deep generative models, with an emphasis on its healthcare applications. The book addresses the unanswered questions that stop these approaches from making a huge difference in real-world clinical practice. The goal of this book is to bring together a wide range of methodologies which are using generative models in health care-related contexts. The book leverages the recent methodological advancements in deep generative models to address critical health-care challenges across all data-types, paving the way for their practical integration into the healthcare system and elevate their impact on the future of healthcare.

      Format: Hardback CONTRIBUTORS: Balasubramaniam S EAN: 9781032988955 COUNTRY: United Kingdom PAGES: 276 WEIGHT: HEIGHT: 234 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2025-12-09 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, COMPUTERS / Data Science / Machine Learning, COMPUTERS / Artificial Intelligence / Generative AI, MEDICAL / Health Care Delivery, MEDICAL / Nursing / Care Plans, MEDICAL / Informatics, TECHNOLOGY & ENGINEERING / Biomedical WIDTH: 156 mm SPINE:

      Book Themes:

      Public ownership / nationalization, Personal and public health / health education, Health systems and services, Infectious and contagious diseases, Biomedical engineering, Electrical engineering, Automatic control engineering, Digital and information technologies: Health and safety aspects, Digital and information technologies: social and ethical aspects, Digital and information technologies: Legal aspects, Algorithms and data structures, Artificial intelligence

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      Balasubramaniam S (IEEE Senior Member) is an Assistant Professor in Kerala University of Digital Sciences, Innovation and Technology (Formerly IIITM-K), Digital University Kerala, Thiruvananthapuram, India. Before joining Digital University Kerala, he was a Senior Associate Professor at the School of Computer Science and Engineering at the Vellore Institute of Technology (VIT), Chennai, India. He has around 15+ years of experience in teaching, research and industry. He has completed his postdoctoral research in the Department of Applied Data Science, Noroff University College, Kristiansand, Norway. He has a PhD in Computer Science and Engineering from Anna University, Chennai, India in 2015 and has published 25+ research papers in reputed SCI/WoS/Scopus indexed journals. He has also been granted 1 Australian patent and 2 Indian Patents and published 2 Indian patents. He has presented papers at conferences, contributed to and edited books published by global publishers. His research and publication interests include machine learning, deep and federated learning-based disease diagnosis, cloud computing security, Generative AI, and electric vehicles.Seifedine Kadry has a bachelor's degree in 1999 from Lebanese University, MS degree in 2002 from Reims University, France and EPFL, Lausanne, Switzerland, PhD in 2007 from Blaise Pascal University, France, HDR degree in 2017 from Rouen University, France. At present his research focuses on data science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. He is a full professor of data science at Noroff University College, Norway and Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.

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