Biomedical Engineering
Editors:
Saurav Mallik, University of Arizona, Tucson, AZ, USA
Soumita Seth, Future Institute of Engineering and Management, Narendrapur, Kolkata, West Bengal, India
Ben Othman Soufiene,PRINCE Laboratory Research, ISITcom, Hammam Sousse,University of Sousse, Tunisia, Tunisie.
ISBN: 9788743809913 (Hardback) e-ISBN: 9788743809906
Available: September 2026
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 horizon—it’s 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:
Bridging research and practice, this book is an indispensable resource for data scientists, bioinformaticians, clinicians, and healthcare innovators seeking to understand—and shape—the 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.
Chapter 1. Introduction: Fundamentals of HealthTech – Horizons with Smart Healthcare Innovations, Deepfake and the Metaverse
Chapter 2. Health Digital Twins: A New Era in Healthcare
Chapter 3. Exploring Deepfake Technology in Healthcare: Innovations, Applications, and Challenges
Chapter 4. Regulatory Frameworks and Ethics in Smart Healthcare Innovations: Deepfakes and the Metaverse
Chapter 5. Emergency Response Training in Metaverse Scenarios
Chapter 6. Orchestrating Healing Harmonies: The Sublime Confluence of Artificial Intelligence and Healthcare
Chapter 7. Hybrid Optimization Techniques for Gene Expression Analysis: The EHOSVM Paradigm
Chapter 8. Decoding Breast Cancer: Unleashing RNA-Seq Insights with Advanced Deep Learning and Modified WOA
Chapter 9. A Smart Healthcare Innovation for Detecting Colorectal Cancer through the Integration of ADAM Optimizer and Categorical Cross-Entropy Loss Function-based CNN Method
Chapter 10. Optimizing Heart Disease Prediction through Machine Learning and Synthetic Data Augmentation Using GANs
Chapter 11. GWF Algorithm for Image Forgery Detection