Advanced Materials for Biomedical Devices
eBook - ePub

Advanced Materials for Biomedical Devices

Insights from AI and Nanotechnology

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Advanced Materials for Biomedical Devices

Insights from AI and Nanotechnology

About this book

Advanced Materials for Biomedical Devices: Insights from AI and Nanotechnology explores the intersection of advanced materials science, artificial intelligence (AI), and nanotechnology, specifically targeting innovations in biomedical devices. This book delves into cutting-edge advancements in materials such as biocompatible polymers, nanostructured surfaces, smart hydrogels, and bioactive ceramics. It discusses their applications in areas like drug delivery, tissue engineering, diagnostics, and implantable devices. The book also examines how AI-driven tools and machine learning algorithms are revolutionizing material discovery, property prediction, and device optimization. This book is aimed at advanced researchers and professionals in academia and industry focusing on biomaterials and medical device innovation, clinicians interested in understanding the technological basis of emerging medical devices and policy-makers or technology developers involved in healthcare innovation. This book serves as both a foundational text for academic learning and a reference for professionals seeking to stay ahead in the rapidly evolving field of biomedical device materials.

Key Features:

  • Bridges the knowledge gap between materials science, AI, and nanotechnology, offering a holistic perspective on biomedical device innovation
  • Focuses on real-world applications, including case studies of AI-enhanced material discovery and nanotechnology-driven device advancements
  • Highlights emerging trends and challenges in smart materials, personalized medicine, and sustainable medical technologies

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Yes, you can access Advanced Materials for Biomedical Devices by M Anusuya,Fabian I. Ezema in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. List of Contributors
  7. Chapter 1 AI in Nanotechnology and Biomedical Innovations: An Infallible Approach
  8. Chapter 2 AI-Enhanced Advanced Materials for Lightweight Additive Manufacturing in Aerospace & Automotive
  9. Chapter 3 Nanomorphics and Its Consociation with Probiotics: An Enterprising Outlook
  10. Chapter 4 AI-Driven Fault Detection and Reliability Optimization in Power Systems Using Machine Learning Models for Electrical and Biomedical Applications
  11. Chapter 5 Next-Generation Materials in Bioengineering: Innovations and Insights in Tissue Regeneration
  12. Chapter 6 Nanotechnology-Enhanced Coatings for Corrosion Resistance in Marine, Industrial, and Biomedical Engineering Leveraging AI for Predictive Maintenance
  13. Chapter 7 Artificial Intelligence Applications in Tissue Engineering
  14. Chapter 8 Structural Health Monitoring in Civil and Biomedical Engineering Using IoT, AI, and Data Analytics for Real-Time Safety Assessments
  15. Chapter 9 Radon Emissions and Their Impact: Evaluating Construction Materials in Biomedical Facilities
  16. Chapter 10 Hybrid Nanocomposites for High-Performance Applications in Aerospace, Mechanical, and Biomedical Engineering Enhanced by Computational Modeling and AI
  17. Chapter 11 AI in Nanomaterials: Enhancing the Efficiency of the Applications through Advanced Intelligence
  18. Chapter 12 Advanced 3D Printing Techniques for Complex Geometries in Mechanical and Biomedical Engineering Applications Supported by AI-Based Topology Optimization
  19. Chapter 13 Improving Cancer Diagnostics: A Study on SPR–PCF Biosensors for Basal Carcinoma Cells
  20. Chapter 14 Integration of AI, Nanotechnology, and Digital Twins for Smart Factory Optimization in Manufacturing and Healthcare Engineering Applications
  21. Chapter 15 AI-Supported Nanocarrier Systems for Targeted Delivery of Bifidobacterium longum Subsp.-Derived Metabolites against MCF-7 Breast Cancer Cell Line
  22. Chapter 16 Renewable Energy Storage Systems Using Advanced Materials for Electric Vehicle and Biomedical Applications with AI-Driven Predictive Energy Management
  23. Chapter 17 Revolutionizing Pediatric Physiotherapy: AI’s Role in Early Detection and Intervention
  24. Chapter 18 Piezoelectric and Shape-Memory Materials for Actuators and Energy Harvesting in Mechanical, Electronics, and Biomedical Engineering Using AI-Based Design
  25. Chapter 19 Integration of AI in Biomedical Materials Research
  26. Chapter 20 Autonomous Robotics for Precision Manufacturing and Healthcare Automation Using AI, Computer Vision, and Nanotechnology-Enhanced Components
  27. Chapter 21 Overview of Advanced Materials in Biomedical Devices
  28. Chapter 22 Biodegradable and Eco-Friendly Materials for Sustainable Construction and Biomedical Packaging Applications Developed Using AI-Driven Life Cycle Assessments
  29. Chapter 23 Smart Nanomaterials for Medical Applications: Exploring the Future of Biocompatibility, Nanorobotics, and Real-Time Monitoring in Healthcare
  30. Chapter 24 Smart Sensors and IoT for Real-Time Environmental, Biomedical, Civil Monitoring with ML
  31. Chapter 25 Advancing Breast Cancer Diagnostics: The Convergence of PCR, AI, and Nanotechnology
  32. Chapter 26 AI-Optimized High-Performance Alloys for Aerospace and Biomedical Applications
  33. Chapter 27 Smart Materials for Diagnostics and Therapeutics
  34. Chapter 28 AI-Driven Quality Control for Scaling Nanomaterials in Industrial and Biomedical Applications
  35. Chapter 29 Nanotechnology in Biosensors
  36. Chapter 30 AI-Enhanced Wearable Electronics and IoT Sensors for Industrial, Biomedical, Consumer Applications
  37. Chapter 31 Nanotechnology: A Promising Targeted Drug Delivery System for Alzheimer’s Disease
  38. Chapter 32 Computational Nanostructuring and Surface Engineering for Enhanced Mechanical, Thermal, Biocompatible Industrial Components
  39. Chapter 33 Future Directions and Emerging Trends of AI-Powered Advanced Materials in Biomedical Devices
  40. Chapter 34 Computational Fluid Dynamics and AI-Driven Microfluidic Systems for Environmental, Chemical and Biomedical Applications
  41. Chapter 35 Virtual Reality (VR) and AI in Physiotherapy for Cognitive and Physical Rehabilitation: Innovations in Biomedical Materials
  42. Chapter 36 Machine Learning–Optimized Composite Materials for Durable Infrastructure and Biomedical Applications
  43. Chapter 37 Portable Glucose Monitoring Utilizing Saliva Nano-Biosensor
  44. Chapter 38 IoT and Cloud-Enabled AI Predictive Maintenance for Manufacturing, Energy, Healthcare Systems
  45. Chapter 39 Nanotechnology for Targeted Drug Delivery System
  46. Chapter 40 AI-Enabled Smart Polymers for Targeted and Nanotech-Enhanced Biomedical Uses
  47. Chapter 41 Artificial Intelligence in Drug Delivery Systems
  48. Chapter 42 Emerging Trends in Yoga Research Utilizing Artificial Intelligence and Biosignals: A Strategic Forecast
  49. Chapter 43 Bacterial Genetics and Artificial Intelligence (AI)-Enhanced Microbial Engineering
  50. Chapter 44 Nanoparticle Therapeutics: Transforming Biomedical Applications
  51. Chapter 45 Applications of Artificial Intelligence and 3D Printing in the Design and Optimization of Various Pharmaceutical Formulations
  52. Chapter 46 Emerging Trends in Nanomaterials: For Medical Applications
  53. Chapter 47 Advancing Agricultural Sustainability through Biomedical Engineering: A Focus on Biosystems and Human-Agriculture Interactions
  54. Chapter 48 Nanomaterials: Catalysts of Technological Revolution across the Diverse Frontiers in Biomedical Applications
  55. Chapter 49 Nanoparticle Drug Delivery System for the Treatment of Brain Tumours
  56. Chapter 50 AI-Powered Advances in Nanoscale Drug Delivery Systems
  57. Index