Advanced Materials for Biomedical Devices (eBook, PDF)

Insights from AI and Nanotechnology
Redaktion: Anusuya, M.; Ezema, Fabian I.

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 610
• Erscheinungstermin: 19. Dezember 2025
• Englisch
• ISBN-13: 9781040438428
• Artikelnr.: 76007695

Autorenporträt

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.

Inhaltsangabe

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