Digital Twin for Healthcare 1st Edition

Capture the future of medicine with Digital Twin for Healthcare, 1st Edition by Abdulmotaleb El Saddik. This authoritative guide introduces the transformative potential of digital twin technology for clinicians, hospital administrators, researchers, and health-tech innovators aiming to improve patient outcomes and operational efficiency.

Explore a clear, practical roadmap that connects theory to real-world healthcare applications: virtual patient replicas for personalized treatment planning, real-time monitoring with IoT and AI, predictive analytics for early intervention, and simulation-driven hospital workflow optimization. Written in accessible language, the book balances technical rigor with clinical relevance so readers across healthcare systems — from community clinics to major medical centers in the US, Europe, Asia and beyond — can apply these concepts immediately.

Learn how digital twins enable precision medicine, reduce risks through virtual testing, and support data-driven decisions that enhance care quality and lower costs. Case studies, implementation strategies, and ethical considerations are presented to help stakeholders navigate regulatory and privacy challenges while maximizing impact.

Whether you’re a healthcare leader planning a digital transformation, a biomedical engineer building next-generation tools, or a clinician curious about leveraging AI-driven insights, this edition equips you with the frameworks and actionable knowledge needed to lead change.

Embrace the next wave of healthcare innovation. Discover how digital twin technology can reshape patient care and operational resilience — order your copy of Digital Twin for Healthcare, 1st Edition today and start translating digital models into healthier outcomes.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.