Overview

The rise of counterfeit medicines is one of the most alarming challenges facing modern healthcare and the pharmaceutical industry. Billions are lost annually, and more importantly, countless lives are at risk due to fake drugs circulating in complex, opaque supply chains. Blockchain Meets Digital Twin in Healthcare: Securing Smart Pharma presents a comprehensive and innovative solution to this crisis by combining blockchain technology, digital twin models, and machine learning to enhance transparency, security, and intelligence in pharmaceutical systems. This book explores how the use of Hyperledger Fabric, smart contracts, and permissioned blockchain networks can safeguard every stage of the medicine supply chain-from raw material sourcing to final delivery to patients. It details the development of a decentralized, tamper-proof system that not only tracks each transaction in real time but also verifies the authenticity of pharmaceutical products. Readers will gain insights into how blockchain can be used to protect sensitive health data, prevent supply chain manipulation, and establish trust among stakeholders. Further enriching the system's capabilities is a machine learning module trained on real patient feedback and health conditions. By integrating algorithms like LightGBM and N-gram modeling, the system provides personalized medication recommendations-empowering patients and healthcare providers to make informed treatment decisions based on authenticated data. A key innovation presented is the integration of digital twin technology-virtual replicas of physical systems-that, when secured by blockchain, enable real-time monitoring of logistics and environmental conditions for temperature-sensitive drugs. This ensures quality control and enhances compliance across pharmaceutical operations. With a strong foundation in current research, technical implementation, and practical applications, this book is an essential resource for healthcare professionals, pharmaceutical companies, technology developers, and academic researchers.

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9789999329798

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