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.

Table of Contents:
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

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.