Biochip Design and Health Informatics Using IoT and SDN
暫譯: 生物晶片設計與健康資訊學：運用物聯網與軟體定義網路

Enables readers to design biochips, use IoT for real-time health data, and apply software-defined networking (SDN) to manage healthcare networks

Biochip Design and Health Informatics Using IoT and SDN offers a comprehensive view on how biochips can be integrated with IoT and SDN technologies to revolutionize healthcare systems, providing a unique solution for building smart, interconnected health informatics systems. It explains how biochips combined with IoT enable continuous, real-time health data monitoring, helping healthcare professionals improve patient outcomes through timely, accurate diagnostics and treatments.

The book addresses key concerns around data security and patient privacy in IoT-based healthcare systems, along with implications of scalability, flexibility, and efficiency using SDN, allowing effective management of health data. By emphasizing the scalability and adaptability of IoT and SDN in healthcare, the book helps readers design systems that can evolve with technological advancements, ensuring they remain relevant and effective in the future.

Edited by a team of highly qualified experts, this book includes information on:

• Fundamentals of IoT and SDN, reviewing basic architectures and protocols for each
• Biochips' critical role in high-throughput screening, biosensing, and real-time data acquisition for pharmaceutical research
• How IoT and SDN technologies accelerate drug screening, pharmacokinetic modeling, and personalized medicine applications, enabling effective remote management of patients
• Integration of VLSI based biochip technology, IoT, and SDN to address critical challenges such as data security, network architecture design, privacy concerns, and resource optimization in drug discovery workflows

Biochip Design and Health Informatics Using IoT and SDN is an essential, timely reference for professionals, university professors, research scientists in biochips and nanotechnology, and PhD and graduate students working at the intersection of VLSI and biomedical engineering, health informatics, and network systems.