Introduction
Precision Healthcare: Patient Care, Decision Tools, Wearables, Legal and Ethical Issues emphasises the shift from generalised treatment to individualised, data-driven care. The book explores how intelligent decision-support systems, wearable technologies, and AI-enabled tools enhance diagnostics, improve clinical outcomes, and enable personalised patient monitoring.
The book offers a comprehensive and future-focused examination of the foundations of precision medicine, its objectives, challenges, policy implications, and the role of data-driven care. Chapters also investigate the transformative impact of the Internet of Medical Things (IoMT), convolutional neural network (CNN)-based respiratory disease detection, wearable health architectures, and AI/ML models for the prediction of neurological, cardiovascular, and metabolic diseases. Further sections highlight advancements in nanomedicine, the emerging influence of large language models in clinical workflows, and the essential legal, ethical, and regulatory frameworks ensuring safe and responsible AI integration in healthcare.
Key Features
- - Explains the foundations, policies, and challenges of precision medicine
- - Demonstrates IoMT-driven healthcare models and disease classification frameworks
- - Presents wearables, AI, and ML applications for predictive and personalised care
- - Explores nanomedicine, LLM-enabled clinical tools, and emerging digital therapeutics
- - Integrates technical innovation with ethics, legal compliance, and patient-centric values
- - Provides case studies and interdisciplinary research for real-world applicability
Target Readership
Medical professionals, biomedical engineers, AI/ML researchers, and healthcare administrators