Future of Internet of Bio-Nano Things in Personalized Healthcare: Applications and Challenges
暫譯: 個人化醫療中生物奈米物聯網的未來:應用與挑戰

Sekar, Jayachitra, Aruchamy, Prasanth, Dhanaraj, Rajesh Kumar

  • 出版商: Academic Press
  • 出版日期: 2025-10-28
  • 售價: $5,720
  • 貴賓價: 9.5$5,434
  • 語言: 英文
  • 頁數: 300
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0443276048
  • ISBN-13: 9780443276040
  • 相關分類: Raspberry Pi
  • 海外代購書籍(需單獨結帳)

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商品描述

Future of Internet of Bio-nano Things in Personalized Healthcare: Applications and Challenges explores the core principles of nanomaterials and the sensing paradigms essential for medical devices based on nano-sensors technology, examining the latest theoretical and practical developments in Internet of Bio-nano Things (IoBNT) for health applications. This book explores how IoBNT facilitates the detection and treatment of diseases within the human body through communication between an in-body network of nanodevices and an external control unit. Readers will discover the transformative benefits of IoBNT, which integrates information and communication technologies with medical and nano-bio sensor devices to enhance patient care. The book highlights advances in telemedicine, including highly functional electronic medical devices like implantable and wearable devices engineered through nanotechnology. It details real-time case studies on smart drug delivery, edge computing, and personalized healthcare applications to provide valuable insights into optimizing network performance and utilization in personalized healthcare. The comprehensive exploration of machine learning algorithms and communication protocols further equips readers with the knowledge to design and implement end-to-end IoBNT solutions.

商品描述(中文翻譯)

《生物奈米物聯網在個人化醫療中的未來:應用與挑戰》探討了奈米材料的核心原則以及基於奈米感測器技術的醫療設備所需的感測範式,檢視了生物奈米物聯網(Internet of Bio-nano Things, IoBNT)在健康應用中的最新理論與實踐發展。本書探討了IoBNT如何透過體內奈米設備網路與外部控制單元之間的通信,促進對人體內疾病的檢測與治療。讀者將發現IoBNT的變革性好處,該技術將資訊與通信技術與醫療及奈米生物感測器設備整合,以提升病患護理。本書強調了遠程醫療的進展,包括透過奈米技術工程設計的可植入和可穿戴設備等高功能電子醫療設備。它詳細介紹了智能藥物傳遞、邊緣計算和個人化醫療應用的即時案例研究,提供有價值的見解,以優化個人化醫療中的網路性能和利用率。對機器學習算法和通信協議的全面探討進一步使讀者具備設計和實施端到端IoBNT解決方案的知識。