9788743809913 - healthtech horizons: charting the future of smart healthcare innovations, deepfake and metaverse (6 risultati)
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 151,02
EUR 7,60 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Condizione: New.
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 175,03
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Condizione: New.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 171,81
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Condizione: New.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dr. Saurav Mallik is currently working as Research Scientist in the Department of Pharmacology and Toxicology, The University of Arizona, USA. Previously, he worked as Postdoctoral Fellow in Harvard T.H. Chan School of Public Health, University of.
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 158,83
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. HealthTech Horizons provides a concise yet comprehensive view of how cutting-edge technologies are transforming healthcare. Covering AI and machine learning in diagnostics, deep learning architectures (CNNs, RNNs, GANs) for genomics and imaging, synthetic data augmentation, and optimization… algorithms (MRMR, EHO, HHWO) for complex biomedical datasets, this book bridges research with real-world applications.It also examines the disruptive rise of deepfake technologies and the metaverse in telemedicine, surgical training, and immersive patient care, while addressing the ethical and computational challenges of integrating these tools responsibly. Designed for researchers, clinicians, and innovators, HealthTech Horizons is both a technical reference and a roadmap for the next era of smart, ethical, and intelligent healthcare systems.The digital revolution in healthcare is no longer on the horizonits here. HealthTech Horizons dives deep into the convergence of biomedical science and advanced computational techniques, offering a research-driven perspective on how technology is redefining modern medicine. This book explores:- Artificial intelligence and machine learning in diagnostics, treatment planning, and personalized medicine.- Deep learning architectures (CNNs, RNNs, GANs) applied to genomics, medical imaging, and biomarker discovery.- Synthetic data augmentation and generative adversarial networks (GANs) for enhancing predictive accuracy.- Feature selection and optimization algorithms (e.g., MRMR, EHO, HHWO) for high-dimensional biomedical datasets.- Deepfake technologies and their dual role in healthcare innovations and security threats.- Metaverse applications in telemedicine, surgical simulation, and immersive patient care.- Ethical and computational challenges in deploying AI responsibly in clinical practice.Bridging research and practice, this book is an indispensable resource for data scientists, bioinformaticians, clinicians, and healthcare innovators seeking to understandand shapethe next frontier of smart healthcare systems. HealthTech Horizons is not just about the future; it is a roadmap for leveraging algorithms, data, and virtual ecosystems to create resilient, ethical, and intelligent healthcare solutions. The book explores how AI, deep learning and optimization algorithms are transforming healthcare, covering diagnostics, genomics, imaging and personalized medicine. It examines synthetic data, deepfake technologies and metaverse applications in telemedicine, surgical training and immersive patient care. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 177,11
EUR 43,28 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. HealthTech Horizons provides a concise yet comprehensive view of how cutting-edge technologies are transforming healthcare. Covering AI and machine learning in diagnostics, deep learning architectures (CNNs, RNNs, GANs) for genomics and imaging, synthetic data augmentation, and optimization… algorithms (MRMR, EHO, HHWO) for complex biomedical datasets, this book bridges research with real-world applications.It also examines the disruptive rise of deepfake technologies and the metaverse in telemedicine, surgical training, and immersive patient care, while addressing the ethical and computational challenges of integrating these tools responsibly. Designed for researchers, clinicians, and innovators, HealthTech Horizons is both a technical reference and a roadmap for the next era of smart, ethical, and intelligent healthcare systems.The digital revolution in healthcare is no longer on the horizonits here. HealthTech Horizons dives deep into the convergence of biomedical science and advanced computational techniques, offering a research-driven perspective on how technology is redefining modern medicine. This book explores:- Artificial intelligence and machine learning in diagnostics, treatment planning, and personalized medicine.- Deep learning architectures (CNNs, RNNs, GANs) applied to genomics, medical imaging, and biomarker discovery.- Synthetic data augmentation and generative adversarial networks (GANs) for enhancing predictive accuracy.- Feature selection and optimization algorithms (e.g., MRMR, EHO, HHWO) for high-dimensional biomedical datasets.- Deepfake technologies and their dual role in healthcare innovations and security threats.- Metaverse applications in telemedicine, surgical simulation, and immersive patient care.- Ethical and computational challenges in deploying AI responsibly in clinical practice.Bridging research and practice, this book is an indispensable resource for data scientists, bioinformaticians, clinicians, and healthcare innovators seeking to understandand shapethe next frontier of smart healthcare systems. HealthTech Horizons is not just about the future; it is a roadmap for leveraging algorithms, data, and virtual ecosystems to create resilient, ethical, and intelligent healthcare solutions. The book explores how AI, deep learning and optimization algorithms are transforming healthcare, covering diagnostics, genomics, imaging and personalized medicine. It examines synthetic data, deepfake technologies and metaverse applications in telemedicine, surgical training and immersive patient care. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
