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