Digital Twins and Healthcare: Trends, Techniques, and Challenges

Grab the future of medicine with Digital Twins and Healthcare: Trends, Techniques, and Challenges by Gaur Loveleen — a clear, forward-looking guide that translates cutting‑edge technology into practical improvements for hospitals, clinics, and health systems worldwide.

Explore how digital twin technology—virtual replicas of patients, devices, and clinical environments—reshapes diagnosis, treatment planning, and operational efficiency. This book walks you through core techniques including AI-driven modeling, IoT sensor integration, simulation, and data-driven decision support, illustrated with real-world healthcare scenarios and implementation pathways relevant to North America, Europe, and Asia-Pacific health ecosystems.

You’ll gain actionable insight into current trends: personalized medicine powered by patient-specific digital models, predictive maintenance for medical devices, remote monitoring for chronic care, and regulatory and privacy considerations that shape adoption. The author breaks down complex topics into practical steps for clinicians, biomedical engineers, health IT leaders, and policy makers seeking to deploy digital twin solutions responsibly and effectively.

Imagine reducing hospital readmissions, optimizing surgical planning, and forecasting resource needs with confident, data-backed simulations—this book shows how. It also candidly addresses challenges: interoperability, data quality, ethical concerns, and workforce readiness, offering strategies to navigate them.

Whether you’re a healthcare professional, technology developer, or decision-maker looking to pilot or scale digital twin projects, Gaur Loveleen provides the knowledge and roadmap to turn potential into impact. Discover the tools and tactics that healthcare systems across the globe are using today—get your copy and start building smarter, safer, more personalized care.

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