Advanced Materials for Biomedical Devices - Insights From Ai and Nanotechnology

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.

List of contents

1. Artificial Intelligence in Nanotechnology: An Infalliable Approach in Biomedical Innovations
   
2. Advanced Materials for Additive Manufacturing of Lightweight Components in Aerospace and Automotive Engineering Using AI-Driven Design and Nanotechnology Enhancements
   
3. Nanotechnology and its Consociation with Probiotics an Enterprising Outlook
   
4. AI-Driven Fault Detection and Reliability Optimization in Power Systems Using Machine Learning Models for Electrical and Biomedical Applications
   
5. Next Generation Materials in Bio-Engineering: Innovations and Insights in Tissue Engineering
   
6. Nanotechnology-Enhanced Coatings for Corrosion Resistance in Marine, Industrial, and Biomedical Engineering Leveraging AI for Predictive Maintenance
   
7. Artificial Intelligence Applications in Tissue Engineering
   
8. Structural Health Monitoring in Civil and Biomedical Engineering Using IoT, AI, and Data Analytics for Real-Time Safety Assessments
   
9. Randon Emissions and Their impact: Evaluating Construction Materials in Biomedical Facilities
   
10. Hybrid Nanocomposites for High-Performance Applications in Aerospace, Mechanical, and Biomedical Engineering Enhanced by Computational Modeling and AI
    
11. AI in Nanomaterials: Enhancing the Applications through Advanced Intelligence
    
12. Advanced 3D Printing Techniques for Complex Geometries in Mechanical and Biomedical Engineering Applications Supported by AI-Based Topology Optimization
    
13. Improving Cancer Diagnostics: A Study on SPR-PCF Biosensors for Basal Carcinoma Cells
    
14. Integration of AI, Nanotechnology, and Digital Twins for Smart Factory Optimization in Manufacturing and Healthcare Engineering Applications
    
15. AI Guided Nanocarrier Systems for Targeted Delivery of Bifidobacterium longum Subsp Derived Metabolites Against MCF-7 Breast Cancer Cells
    
16. Renewable Energy Storage Systems Using Advanced Materials for Electric Vehicle and Biomedical Applications with AI-Driven Predictive Energy Management
    
17. Revolutionizing Pediatric Physiotherapy: AI's Role In Early Detection and Intervention
    
18. Piezoelectric and Shape-Memory Materials for Actuators and Energy Harvesting in Mechanical, Electronics, and Biomedical Engineering Using AI-Based Design
    
19. Integration of AI in Biomedical Materials Research
    
20. Autonomous Robotics for Precision Manufacturing and Healthcare Automation Using AI, Computer Vision, and Nanotechnology-Enhanced Components
    
21. Overview of Advanced Materials in Biomedical Devices
    
22. Biodegradable and Eco-Friendly Materials for Sustainable Construction and Biomedical Packaging Applications Developed Using AI-Driven Life Cycle Assessments
    
23. Smart Nanomaterials for Medical Applications: Future of Biocompatibility, Nanorobotics and Real time monitoring in Healthcare
    
24. Smart Sensors and IoT-Enabled Devices for Real-Time Monitoring in Environmental, Biomedical, and Civil Engineering with Data Analytics and Machine Learning
    
25. Advancing Breast Cancer Diagnostics: The Convergence of PCR, AI and Nanotechnology
    
26. High-Performance Alloys and Their Applications in Aerospace and Biomedical Structures Supported by AI-Driven Material Selection Algorithms
    
27. Smart Materials for Diagnostics and Therapeutics
    
28. Challenges in Scaling Nanotechnology-Based Materials for Large-Scale Industrial and Biomedical Applications Using AI-Powered Quality Control Systems
    
29. Nanotechnology in Biosensors
    
30. Innovations in Wearable Electronics and IoT Sensors for Industrial, Biomedical, and Consumer Applications Enabled by AI and Big Data Analytics
    
31. Nanotechnology: A Promising Targeted Drug Delivery System for Alzheimers Disease
    
32. Surface Engineering and Nanostructuring for Enhanced Mechanical, Thermal, and Biocompatibility Properties in Industrial and Biomedical Components Using Computational Modeling
    
33. Future Directions and Emerging Trends in AI Powered Advance Materials in Biomedical Devices
    
34. Advanced Fluid Dynamics in Microfluidic Systems for Environmental, Chemical, and Biomedical Engineering Applications Simulated Using Computational Tools
    
35. Virtual Reality (VR) and AI in Physiotherapy for Cognitive and Physical Rehabilitation: Innovations in Biomedical materials
    
36. Composite Materials for Enhanced Durability and Performance in Infrastructure and Biomedical Applications Optimized Through Machine Learning Algorithms
    
37. Portable Glucose Monitoring Using Saliva Nano-Biosensor
    
38. AI-Powered Predictive Maintenance Models for Manufacturing, Energy, and Healthcare Systems Leveraging IoT and Cloud Computing Frameworks
    
39. Nanotechnology for Targeted Drug Delivery Systems
    
40. Biocompatible Materials and Smart Polymers for Targeted Biomedical Applications Using AI for Material Behavior Prediction and Nanotechnology Enhancements
    
41. Artificial Intelligence in Drug Delivery System
    
42. Emerging Trends In Yoga Research Utilizing Artificial Intelligence And Bio-Signals: A Futuristic Perspective
    
43. Bacterial Genetics and AI Enhanced Microbial Engineering
    
44. Nanoparticle Therapeutics: Transforming Biomedical Applications
    
45. Applications of AI in the Design and Optimization of Various Pharmaceutical Formulations
    
46. Emerging Trends in Nanomaterials for Medical Applications
    
47. Advancing Agricultural Sustainability Through Biomedical Engineering: A Focus On Biosystems and Human-Agriculture Interactions
    
48. Nanomaterials: Catalysts of Technological Revolution Across the Diverse Frontiers in Biomedical Applications
    
49. Nanoparticle Drug Delivery System for the Treatment of Brain Tumors
    
50. AI-Powered Advances in Nanoscale Drug Delivery Systems
    

About the author

M Anusuya, M.Sc., M.Phil., B.Ed., Ph.D. is a specialist in material science, thin-film technology, nanoscience, and crystallography. She works as a registrar of Indra Ganesan Group of Institutions, Trichy, Tamil Nadu. As an administrator and teacher, with more than 25 years' experience, for her perpetual excellence in academics, she has been recognised with many awards. She has received over 45 awards in academic and social activity. She has published more than 30 research papers in national and international journals, 16 chapters in edited books, been granted 15 patents, presented 50 papers in the conferences, and organised more than 200 webinars, both nationally and internationally.
Fabian I. Ezema is a professor at the University of Nigeria, Nsukka. He earned a PhD in physics and astronomy from the University of Nigeria, Nsukka. His research focused on several areas of materials science, from synthesis and characterisations of particles and thin-film materials through chemical routes with emphasis on energy applications. For the last 15 years, he has been working on energy conversion and storage (cathodes, anodes, supercapacitors, and solar cells, among others), including novel methods of synthesis, characterisation, and evaluation of the electrochemical and optical properties. He has published about 240 papers in various international journals and given over 100 talks at various conferences. His h-index is 51 with over 9,697 citations, and he has served as reviewer for several high-impact journals and as an editorial board member.

Product details

• Authors: M Ezema Anusuya
• Assisted by: M Anusuya (Editor), Fabian I. Ezema (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Release: 04.11.2025
• EAN: 9781041096931
• ISBN: 978-1-0-4109693-1
• No. of pages: 580
• Subjects: Natural sciences, medicine, IT, technology > Physics, astronomy > Atomic physics, nuclear physics; Artificial Intelligence, SCIENCE / Physics / General, TECHNOLOGY & ENGINEERING / Nanotechnology & MEMS, SCIENCE / Nanoscience, SCIENCE / Life Sciences / Biophysics, TECHNOLOGY & ENGINEERING / Biomedical, Artificial Intelligence (AI), Nanotechnology, Medical physics, Biophysics, COMPUTERS / Artificial Intelligence / General, Engineering applications of bio-materials, Biomedical engineering / Medical engineering