Description

by Paul Lee (ed.)

This textbook delivers a comprehensive, systematic and clinically grounded overview of the latest developments in regenerative orthopaedic surgery, encompassing the latest surgical techniques, injection therapies, next generation orthobiologics, and emerging gene therapies. It explores the integration of AI-driven diagnostics covering computer vision, deep learning, and machine learning into musculoskeletal assessment and clinical decision making. Core scientific principles of biology, chemistry, physics, and time are discussed as a foundation for musculoskeletal regeneration. Highlights the role of sleep regulation, biomechanics, psychology, and rehabilitative processes in supporting musculoskeletal repair and functional recovery. This textbook offers a practical framework for surgeons to clinicians to implement regenerative strategies and AI in clinical practice in the evolving field of musculoskeletal regeneration.

Musculoskeletal Regeneration Medicine provides a unique, comprehensive, and accessible resource for those seeking to understand and apply the latest discoveries and techniques in this exciting area of healthcare. The book is aimed at medical professionals, researchers, and students, equipping readers with a broad understanding of the core principles and techniques currently revolutionizing orthopaedics and regeneration medicine. From stem cell technologies, growth factor injections, bracing, and surgical realignment to a detailed understanding of the biological intricacies that drive cell regeneration, this text provides an in-depth, interdisciplinary perspective.