Isbn: 9780443452826 - smart healthcare 2.0: integrating digital twins with ai-driven predictive analytics (8 risultati)

Paperback. Condizione: new. Paperback. Smart Healthcare 2.0 Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. 2026. 1st Edition. paperback. . . . . .

Condizione: New. Bridges AI, IoT, and biomedical engineering for comprehensive digital twin healthcare system design and deploymentOffers practical frameworks for secure, scalable, and real-time patient monitoring and predictive health interventions.

Paperback. Condizione: new. Paperback. Smart Healthcare 2.0 Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: Brand New. 250 pages. 7.52x1.04x9.25 inches. In Stock.

Condizione: New. 2026. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condizione: new. Paperback. Smart Healthcare 2.0 Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condizione: Neu. Neuware - Smart Healthcare 2.0: Integrating Digital Twins with AI-Driven Predictive Analytics offers a groundbreaking exploration of how digital twin technology, combined with real-time sensing and predictive analytics, is transforming healthcare delivery. As the global healthcare landscape shifts toward proactive, personalized care, this book addresses the urgent need for comprehensive resources that unify artificial intelligence, Internet of Things (IoT), and biomedical engineering within the digital twin framework. It provides an essential guide for researchers, engineers, and clinicians aiming to harness virtual patient models and data-driven insights to improve health outcomes and system efficiency in the era of ubiquitous healthcare.This volume covers a wide spectrum of topics, starting with foundational concepts of digital twins in precision health and advancing through smart sensing technologies, scalable system architectures, and AI-powered predictive analytics. Readers will explore detailed discussions on edge-cloud computing, secure communication protocols including blockchain, and simulation platforms that enable virtual patient modeling. The book also addresses critical themes such as chronic disease management, emergency response optimization, ethical AI deployment, interoperability standards, and workforce readiness. Real-world case studies and future-focused chapters on cognitive twins and quantum simulation provide a rich, multidisciplinary perspective.…