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: - Artificial intelligence and machine learning in diagnostics, treatment planning, and personalized medicine. - Deep learning architectures (CNNs, RNNs, GANs) applied to genomics, medical imaging, and biomarker discovery. - Synthetic data augmentation and generative adversarial networks (GANs) for enhancing predictive accuracy. - Feature selection and optimization algorithms (e.g., MRMR, EHO, HHWO) for high-dimensional biomedical datasets. - Deepfake technologies and their dual role in healthcare innovations and security threats. - Metaverse applications in telemedicine, surgical simulation, and immersive patient care. - Ethical and computational challenges in deploying AI responsibly in clinical practice. Bridging research and practice, this book is an indispensable resource for data scientists, bioinformaticians, clinicians, and healthcare innova
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