This book provides thorough exploration and applications of 3D printing and microfluidics within the field of dermatology. It investigates various methods utilized in these fields, such as 3D bio-printing, nano-transporters, microscopic fabrication, and device development.

1. The basic concept of 3D printing and its application in dermatological conditions.  2. Bioink as Integral Material for 3D Printing.  3. Biomedical Application of 3D Printing.  4. Recent trends and pharmaceutical applications for 3D printing in dermal drug delivery.  5. 3D Printing for In Vitro and In Vivo Skin Disease Models.  6. 3D Bioprinting for Skin and Tissue Engineering.  7. Newer Dimension: 4D and 5D Printing Opportunities in Drug Delivery to the Skin.  8. Regulatory Perspective on 3d-Printing in Dermaceuticals.  9. Basic concept of microfluidics and its application in dermatological conditions.  10. Materials and techniques for microfabrication of microfluidic device.  11. Biomedical Applications of Microfluidics.  12. Application of microfluidics in dermal drug delivery system.  13. 3D Printed Microfluidic Devices with Integrated Biosensors for Dermatological Application.  14. Regulatory Perspective on Microfluidics in Dermaceuticals.  

Personalization of Patient Treatment Through Digital Fabrication

3D printing in Radiation Therapy: A Handbook presents a comprehensive and practical view of the many forms in which 3D printing is being integrated into radiation oncology practice. Radiation oncology employs among the most sophisticated digital technologies in medicine.

 Chapter 1          Introduction and Clinical Perspective
Chapter 2          A brief introduction to 3D printing
Chapter 3          Biocompatibility and sterilization of 3D printed radiation therapy devices
Chapter 4          3D printing for external beam photon therapy
Chapter 5          3D printing for electron therapy
Chapter 6          3D printing for proton therapy
Chapter 7          Applications on brachytherapy
Chapter 8          3D printed patient immobilization
Chapter 9          3D printed radiation detectors
Chapter 10       3D printed phantoms in RT
Chapter 11       Operationalizing 3D printing in the radiation oncology department
Index

Bruschi, Marcos Luciano | Uchida, Denise Tiemi | Carla de Oliveira, Mariana

This book features a brief history of additive manufacturing and 3D/4D printers, as well as its advantages, applications, and overall challenges facing the technology. Throughout the book the focus shifts to its applications in bioadhesive systems for drug delivery.

Chapter 1  Introduction to Additive Manufacturing: From History to Application
Chapter 2  Types of 3D Printers in Topical and Mucosal Applications
Chapter 3  Drug Delivery Systems
Chapter 4  Bioadhesive Systems
Chapter 5  Biomaterials and Bioinks
Chapter 6-  4D Printing
Chapter 7  Application Fields and Regulatory Aspects
Chapter 8  Concluding Remarks

Biswas, Snehan | Mukherjee, Amartya | Dey, Nilanjan

A Beginner's Guide to Medical Application Development with Deep Convolutional Neural Networks

This book serves as source of introductory material and reference for medical application development and related technologies by providing the detailed implementation of the cutting-edge deep learning methodologies. It targets the cloud based advanced medical application developments using open-source python based deep learning libraries.

1. Introduction to Medical Data and Image Analysis 2. The Convolutional Neural Network 3. The Detection of COVID-19 Pneumonia Using Inception V3 and Custom Designed Bi-Modal Looping DCNN via Analysis of X-Ray Images 4. Detection of Pneumonia from a Small-Scale Dataset of X-Ray Images of Lungs by Using a Compound Batch-Normalizing Convolutional Neural Feature Extracting Random Forest Classifier 5. An Adaptive Profound Transfer Learning Strategy for Malaria Cell Parasite Classification and Detection 6. Implementation of a Deep Convolutional Auto-Encoding Image-Reconstruction Network (DCARN) to Visualize Distinct Categories of COVID-19 and Pneumonia X-Ray Image Features 7. Super Resolution Generative Adversarial Neural Network (SR-GANN) with Bi-Modal Multi-Perceptron Layers for Medical X-Ray Images 8. Conclusion

This book presents the theoretical basis and applications of electroencephalography (EEG) signals in neuroscience, involving signal analysis, processing, signal acquisition, representation, and applications of EEG signal analysis using non-linear approaches and machine learning.

1. Diagnostic applications of EEG signal patterns in Neuroscience.  2. Deep Learning Techniques for Automatic Sleep Pattern Identification and Disorder Evaluation using EEG Signals.  3. Recent Trends in EEG-Based MI and SSVEP Brain-Computer Interface Applications - A Review.  4. Recent Trends in EEG-Based P300, Neuromarketing and E-sports Brain-Computer Interface Applications - A Review.  5. Significance of Fourier Transform for Epileptic EEG Signals Analysis.  6. Alternative treatment with nonperiodic acoustic stimulation for pharmacoresistant epileptic patients: an exploratory study.  7. Artifacts removal in Electroencephalogram (EEG) signals.  8. Multi-channel and multi-label decision-making system (MCL-DMS) for sleep stage and sleep disorder recognition from EEG signals.  9. Analyzing and Decoding Natural Reach & Grasp Action Using Convolutional Neural Network.  10. Classification of motor imagery EEG signals based on sparse representations of Empirical Mode Decomposition features.  11. Prediction of Onset of Seizures from EEG signals using ML Techniques.  

Advanced Materials: Production, Characterization and Multidisciplinary Applications is focused on novel approaches for production of graphene and other 2D materials along with characterization techniques, discussing a wide range of applications in multidisciplinary areas of science and engineering.

1. Introduction (Overview) to Advanced 2D Materials Used in Industry. 2. Advanced Material and Other 2D Materials a Comparative Investigation. 3. Confirmation of Non-Debye character in SmFeO3 doped PbTiO3 characterizing by CIS technique. 4. Characterization techniques used for advanced materials describing physical, mechanical, thermal & biocompatibility properties. 5. Characterization techniques associated with investigation of fundamental properties of advanced material and other 2D materials. 6. Characterization of Non-Debye Behavior and Hopping Mechanism in PbTiO3-NdFeO3 Multiferroic Using Complex Impedance Spectroscopy. 7. Nanoscale Design and Probing of Advanced Materials. 8. Investigation associated with graphene oxide related to biotechnology and medicine for cancer treatment. 9. Advanced 2D Material-based Miniaturized Devices for Biomedical Applications. 10. Advanced Materials Synthesis by Top-Down Approach and Bottom-Up Approaches. 11. Challenges and Advances in 2d Materials Production and Its Characterization.

This book is focused on the applications of various advanced nanohybrids in biomedical sectors to provide solutions for different pressing challenges. Through detailed discussions and case studies, it explores how these advanced nanomaterials can address critical issues and offer new perspectives with practical approaches.

1. Editorial Overview of Nanotechnology in Biomedical Applications.  2. Nanohybrids for Biosensors and Bioelectronics Applications.  3. Nanohybrids for Disease Diagnosis Applications.  4. Nanohybrids for Cancer Therapeutic Applications.  5. Nanohybrids for Inflammatory Disease Therapeutic Applications.  6. Harnessing Multi-Enzymatic Activities of Single-Atom Nanozymes for Advanced Antimicrobial Applications.  7. Smart Biosensors Based on Single-atom Nanozymes for Biomedical Innovations.  8. Carbon Dots and Dendrimer Nanohybrids for Biomedical Applications.  9. Semiconductor Based Nanohybrids for Biomedical Applications.  10. Challenges and Future Direction of Nanotechnology in Biomedical Applications.

The book presents the latest advances in soft electronics in biomedical engineering and its potential applications in various biomedical fields.

1 Advanced Soft Electronic Materials and Structures for Biomedical Engineering  2 Advanced Fabrication Technology for Soft Electronics  3 Soft Electronics for Monitoring and Diagnostics  4 Soft Electronics for Medical Treatment  5 Soft Electronics for Neural Engineering  6 Soft Electronics for Wearable and Implantable Systems  7 Advanced Soft Robotics for Biomedical Applications  8 Advanced Fiber Sensing Technologies in Bio-Integrated Systems  9 Optimizing Power Strategies and Circuit Designs for Soft Electronics in Bio-integrated Systems  10 International Standardization Activities

Calcium phosphate materials are used in many medical and dental applications. Advanced Synthesis and Medical Applications of Calcium Phosphates covers the structure, chemistry, synthesis, and properties of both natural and synthetic calcium-based biomaterials and details a variety of medical applications.

1. Biocompatibility of Natural Materials (Calcium Phosphates). 2. History of Calcium Phosphate in Regenerative Medicine. 3. Clinical Applications of Calcium Phosphates in Orthopaedics. 4. The Essential Role of Calcium Phosphate in Bone Regeneration. 5. Self-Assembly and Nano-Layering of Apatite Calcium Phosphates in Biomaterials. 6. Characterization of Calcium Phosphate Using Vibrational Spectroscopies. 7. Nanocrystalline Calcium Phosphate-Based Biomaterials and Stem Cells in Orthopaedics. 8. Zn- F-Co Substituted Nanocrystalline Hydroxyapatite for Bone Tissue Applications. 9. Calcium Phosphate-Based Biomaterials for Drug Delivery in Bone Tissue Engineering. 10. Biodiesel Production Using CaO-Based Heterogeneous Catalysts.

This book explores innovative technological advancements contributing to sustainability and efficiency in biomedical applications. It examines how cutting-edge technologies in materials, bioprinting, and biotribology and biocorrosion address challenges in the biomedical field, enhance patient care, and promote environmental sustainability.

1. Engagement of AI in Bioinformatics and Computational Biology. Section I: Materials and Mechanics. 2. Nanomaterials and Their Challenges for Biomedical Applications. 3. Functionally Graded Cellular Structures for Biomaterials in Orthopedics. 4. Harnessing Nature: Sustainable Advancements in Biomedical Applications. 5. Magnesium-Based Materials for Biomedical Applications. 6. Soft Robotic Systems for Sustainable Biomedical Applications. Section II: Bioprinting. 7. Sustainable Bioprinted Tissue-Engineered Constructs Based on Biopolymers for Medical Applications and Tissue Regeneration. 8. 3D Bioprinting of Biopolymer-Based Scaffolds for Tissue Engineering. 9. Nanomanufacturing in the Biomedical Field. 10. Biowaste-Derived Sustainable Biomaterials for Tissue Engineering Applications: Opportunities and Challenges. 11. Materials and Processes Used for Medical Devices Manufactured with 4D Printing. 12. Nanohydroxyapatite-Reinforced UHMWPE Composites: A Sustainable Approach for Next-Generation Dental Implants. 13. Medical Devices Made with 4D Printing: From Manufacturing to Application. 14. Ti6Al4V 3D-Printed Lattice Structures for Biomedical Applications. Section III: Biotribology and Biotribocorrosion. 15. Tribological Behaviour of Natural Fiber-Reinforced UHMWPE Composites for Knee Prosthetics. 16. Mechanical Characterization of Kenaf, HDPE-Reinforced UHMWPE Composite for Lower Knee Prosthetic Socket: A Review. 17. Future Trends and Emerging Sustainable Technologies in Biomedical Field. 18. Machine Learning in 3D Bioprinting: Enhancing Biomaterials for Regenerative Medicine.

Advances in Computational Intelligence for Health Informatics and Computer-Aided Diagnosis

This book provides a comprehensive overview of the intersection of computational intelligence, health informatics, and computer-aided diagnosis. The book explores and highlights the latest advancements, methodologies, applications, and tools in these fields.

Chapter1- Overview of Computational Intelligence for Health Informatics and Computer-Aided Diagnosis 
Chapter 2- From Pixels to Prognosis: Machine Learning Approaches for Medical Imaging Diagnosis 
Chapter 3- Development of an Advanced Lung Cancer Diagnosis System Using Image Processing and Machine Learning
Chapter 4- Automated Dementia Detection using Genetic Algorithm and Differential Evaluation Model P. Muthu
Chapter 5- Exploring deep learning models in medical image analysis for human disease detection and classification
Chapter 6- Machine Learning approach for different habitual activity Versus sleep intermittent stages in time efficient perspectives based on facial features
Chapter 7- A Survey on Challenges in Interoperability and Security in iot based healthcare system
Chapter 8- Intelligent Cardiovascular Disease Prediction Using Ant Colony Optimization with Enhanced Deep Learning Model
Chapter 9- Utilizing Explainable Artificial Intelligence for Parkinson's Disease Diagnosis through Analysis of Spiral and Wave Drawings with Integrated Data Augmentation
Chapter 10- Review on Medical sensors for health care monitoring systems using Machine learning algorithm
Chapter 11- Breast Cancer Classification Using Machine Learning – a Study
Chapter 12- Secure Compressive Sensing in Medical Imaging Using Fractional Order Hyper Chaotic Systems
Chapter 13- Early-Stage Lung Cancer Classification through Improved Data Processing with Spatial FusionNet
Chapter 14- Practical Applications: Specific Diseases or Conditions Where AI has made a Significant Impact: A review
Chapter 15- Medical Impact Assessment of Industrial Emissions: Predicting Air Quality Index

This book presents recent advancements in the nanotechnology-based innovations in the biomedical sciences and engineering including nano-imaging, nano delivery of drugs and genes, antimicrobial, and antiviral coating, nano-neutraceuticals, and nanocosmetics. 

1. Nanoparticles for Biomedical Imaging: History to Current Status. 2. Characterization of Nanomaterials for Use in Medical Imaging. 3. Drug delivery and Medical Imaging Using Nanotechnology. 4. Synthesis, Characterization, and Application of Nanomaterials in Cancer Theranostics. 5. Quantum Dots: The Next Generation Candidate for Biomedical Imaging. 6. Nanotechnology in Bio-sensing: The Future of Disease Diagnosis. 7. Application of Silver Nanoparticles as Antimicrobial Coating: Advancement and Challenges. 8. Application of Nanocomposites for Wound Healing. 9. Application of Nanotechnology in Anti-microbial Coating on Surgical Instruments. 10. Advances in Antiviral Coating: Harnessing Nanoparticles and Fuzzy Logic. 11. Nanotechnology in Drug Delivery: Current Technique and Recent Advances. 12. Phytonanomedicine: A Cost-Effective Approaches for Breast Cancer Therapy: Appropriately Relevant for India. 13. Nanoparticle Based Gene Delivery in Therapeutics: Current Status and Future Scope. 14. Recent Advances in Nanotechnology-Based Drug Delivery for Cardiovascular Diseases. 15. Green Synthesis, Characterization, and Application of Nanoparticles for Drug Delivery. 16. Recent Advancement in Use of Nano-Nutraceuticals in Medicine. 17. Nutraceuticals Delivery System Using Nano-Based Formulations. 18. Potential Use of Nanomaterials in Dietary Supplements and Medical Purpose Food. 19. Application of Polymeric Nanomaterials and Liposomes in the Food Industry. 20. Nanotechnology and its Application in the Science of Beauty: Nano Formulation for Cosmetics and Beauty Creams. 21. Stimuli-Responsive DNA Device for Biomedical Applications. 22. Role of Nanostructured Materials Towards Futuristic Biomedical Sensing Applications. 23. Therapeutic Nutraceutical Delivery Strategies Using Nano Carrier Systems and Their Characterization Methods. 24. Augmentation of Nanorobots in the Field of Biomedicine.

A widely used, classroom-tested text, Applied Medical Image Processing: A Basic Course delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field.

1: A Few Basics of Medical Image Sources. 2: Image Processing in Clinical Practice. 3: Image Representation. 4: Operations in Intensity Space. 5: Filtering and Transformations. 6: Segmentation. 7: Spatial Transforms. 8: Rendering and Surface Models. 9: Registration. 10: CT Reconstruction. 11: Machine Learning. 12: A tutorial on image guided therapy. 13: A Selection of MATLAB Commands. 14: Glossary. 15: List of MATLAB sample scripts. 16: Index.

Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering

Biomedical engineering is undergoing a transformation due to AI and cloud computing, which are allowing creative solutions that enhance patient outcomes, diagnosis, treatment planning, and healthcare delivery. This work examines these two computing s in biomedical engineering, highlighting practical applications and new directions.

1. Artificial Intelligence and Computational Biology in Drug Discovery 2. Techniques of AI/ML for Genomics Visualisation in Plants 3. Computing Architectures on the Cloud to Address Current Problems in Structural Bioinformatics 4. Application of AI for Diseases Detection and Prevention 5. AI for Diseases Detection and Prevention 6. Machine Learning Techniques for Detecting Lung Cancer 7. A Review on AI Approaches for the Detection of Diabetic Retinopathy 8. Intelligent Applications for Medical Image Analysis 9. Machine Learning Integration with Biomedical Problems 10. Intelligent Tools and Techniques for Real Life Diseases 11. Free Space Detection in Medical Image Analysis for the Visually Impaired Using Histogram Equalization and Adaptive Region Growing

Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering

Biomedical engineering is undergoing a transformation due to AI and cloud computing, which are allowing creative solutions that enhance patient outcomes, diagnosis, treatment planning, and healthcare delivery. This work examines these two computing s in biomedical engineering, highlighting practical applications and new directions.

1. Artificial Intelligence and Computational Biology in Drug Discovery 2. Techniques of AI/ML for Genomics Visualisation in Plants 3. Computing Architectures on the Cloud to Address Current Problems in Structural Bioinformatics 4. Application of AI for Diseases Detection and Prevention 5. AI for Diseases Detection and Prevention 6. Machine Learning Techniques for Detecting Lung Cancer 7. A Review on AI Approaches for the Detection of Diabetic Retinopathy 8. Intelligent Applications for Medical Image Analysis 9. Machine Learning Integration with Biomedical Problems 10. Intelligent Tools and Techniques for Real Life Diseases 11. Free Space Detection in Medical Image Analysis for the Visually Impaired Using Histogram Equalization and Adaptive Region Growing

This book explains recent breakthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to develop AI-based security mechanisms which can gather or share data across healthcare applications.

1. Artificial Intelligence in Healthcare: A Shift. 2. AI’s Implication in Healthcare and Medical Systems. 3. Advancements of Artificial Intelligence in Healthcare. 4. A Review of Deep Learning Applications in Modernized Healthcare Services. 5. An Empirical Evaluation of Learning Models for the classification of Fall Detection dataset. 6. Review in Healthcare using Augmented Reality/Virtual Reality: An IoT perspective. 7. Shooting method for solving two-point boundary value problems in ODEs numerically and applications to medical science. 8. Key Management in Healthcare using IoMT. 9. Security issues related to COVID data using Artificial Intelligence (AI). 10. Security Issues and Defense Mechanism Using IoMT. 11. Threat Modeling in Healthcare Systems. 12. Use of Block Chain Technology for Privacy and Threat Detection. 13. Blockchain based Decentralized Biometric Authentication System for Vulnerability Analysis. 14. Security Issues Related to Cervical Cancer Research: A Bibliometric Analysis.

This book discusses development of microbial/other renewable source-based bioplastics products, their blends, and biocomposites applications in various industrial fields. It covers biodegradable polymeric materials preparation, extraction, formulation, modification of properties, products development and applications, and end-of-life options.

1.           Biopolymers and Biodegradable polymers – past, present and future2.            Bioplastics, Biodegradable polymers and Biocomposites: An Overview Biopolymers3.           Global plastic waste generation, microfibers (MFs) micro- and nano-plastics (MNPs) pollution and                     their health-related toxicities upon exposure4.           Sustainability of Bioplastics: Principle, Recent advances and Applications5.           Microbial Production of Biopolymers: Recent Advancements and their Applications6.           Agro-based bioplastic production and its applications7.           Biobased Polyesters from Bio-based Monomers:  Synthesis and Properties.8.           Blending techniques for preparing cost minimized Bioplastics and Biocomposites.9.           End-of-life options of biobased plastic materials.10.        Economics of Bioplastics and Biobased products11.        Circular economy on bioplastics and biobased polymers12.        Bioplastics and its bio-nanocomposites for a Circular Economy-Standards, Labelling, Regulations13.        Life cycle assessment (LCA) study of bioplastic biopolymers14.        A global perspective of beginning to the end of microplastics in the aquatic environment: Tracing the missing link (Bioplastics)

This book explores how bioengineering meets IoT to revolutionize healthcare through automation, electronic records, and smart rehabilitation. It examines how these enhance care delivery, address security via blockchain, and improve patient monitoring—essential reading for healthcare professionals and technology enthusiasts.
 

Chapter 1 Automated Waste Management System: A Deep Learning Approach  Chapter 2 Challenges and Key Issues in IoT Privacy and Security  Chapter 3 Recent Advances in Neuromuscular Sciences in Sports  Chapter 4 Wearable Devices, Internet of Things for Evaluation of Movement in Neck Pain Patients  Chapter 5 Smart Nutrition: Leveraging IoT and AI for Real-Time, Personalized Dietary Management  Chapter 6 Culturally Rooted and AI-Enhanced Cryptographic Key Generation for Secure IoT Systems: A KaTaPaYadi–N-Gram–RNN Hybrid Framework  Chapter 7 IoT-Enabled Smart Boat for Enhanced Pond Fishing  Chapter 8 Comprehensive Health Forecasting and Care Solutions Using Predictive Analytics and AI Techniques Chapter 9 Remote Health Surveillance (RHS)  Chapter 10 Enhancing Patient Care through the Use of Machine Learning-Powered Internet of Things (IoT) Solutions in the Healthcare Industry Chapter 11 Implementing IoT for Dispensing Sanitary Napkins Using Digital Payment  Chapter 12 Artificial Intelligence Empowered Internet of Nanorobotics for Medical Systems  Chapter 13 Deep Learning Approach to Detecting Diabetes Mellitus: Addressing the Problem of Data Accessibility and Quality  Chapter 14 Wearables, Internet of Things on Evaluation of Movement in Neck Pain Patients  Chapter 15 Detection of Brain Tumors in 3D MRI through Intelligent Segmentation using DPSO and FODPSO Algorithms  Chapter 16 Machine Learning-Enabled Smart Health Monitoring for Predictive Analytics

This book provides a comprehensive exploration of next-generation bio-inspired functional materials and their transformative role in advancing sustainable biomedical applications.

1. Introduction to Next-Generation Functional Materials in Biomedical Applications  2. The Role of Bio-Inspired Materials for Achieving Sustainable Development Goals  3. Bio-Inspired Materials Design  4. The Design of Self-Healing and Biodegradable Nanocomposites  5. Nanomaterial Application in Electrochemical Devices and Energy Storage  6. Nanotechnology in Bio-Inspired Materials  7. Advancements in Nanoengineering for Sustainable Biomaterials: Integrating Bioprocessing 4.0, Advanced Characterization, and Diverse Applications  8. Protein-Based Materials for Targeted Drug Delivery: Structure, Function, and Therapeutic Applications  9. Bio-Inspired Nanomaterials for Precision Drug Delivery  10. Pectin-Based Biopolymers: Sustainable Materials for Advanced Biomedical Applications  11. Next-Generation Tissue Engineering: From Biomimetic Scaffolds to Smart Regeneration  12. Bioresorbable Sensors: Pioneering the Future of Transient Biosensing  13. Photothermal and Photodynamic Materials for Therapy  14. Sustainable 3D Bio Printing Technologies  15. Advancing Sustainable 3D Bioprinting: Materials, Methods, and Future Directions  16. Biodegradable Biopolymers in Tissue Engineering  17. Magnetic Ferrites: A Green Approach to Water Purification  18. Bio-Inspired Water Purification: Harnessing Nature for a Sustainable Future  19. Energy Harvesting for Biomedical Devices  20. Soft Robotics in Sustainable Biomedical Applications  21. Bio-Inspired Materials and Applications: Futuristic Challenges and Research Directions 

This book is a pioneering exploration at the intersection of biomedical engineering and computational fluid dynamics. This comprehensive anthology showcases authors’ collective expertise and vision, offering readers a profound perspective on the dynamic interplay between fluids and biological systems.

Preface. Techniques of Airway-Structure Modeling. Fluid Flow and Particle Transport in Upper Airway Model: With and Without Stenosis. Role of CFD in Pulmonary Drug Delivery using Inhalers. Drug Delivery Through Naso-pharyngeal Routes. Analysis of Newtonian Physiological Blood Flow through an Abdominal Aortic Aneurysm. Finite Volume Simulation of Biomagnatic Fluid Flow in a Model Arterial Aneurysm. Computational Fluid Dynamics of Cerebrospinal Fluid Flow. Ocular Flow Modelling. Modeling of Miscellaneous Bio-Fluid Flows. Nanoparticle-Based Drug Delivery. Advancements in Cardiovascular Assistive Devices and Future Innovations for Post-COVID Care. New Trends in Bio-Fluid Flow Modelling. Index.

This book examines biomedical robotics through engineering, analyzing its healthcare impact with focus on AI integration. It covers implementation challenges, IT security protocols and compliance, and serves students and professionals in biomedical engineering, robotics, and healthcare technology.

Chapter 1 The Future of Driving: Exploring Human Machine Collaboration in Modern Vehicles Chapter 2 Decision Making System for FCD-Epilepsy type-II Segmentation using MRI Chapter 3 Design And Optimization of a Multiaxial Knee Exoskeleton for Lower Limb Rehabilitation Chapter 4 Comprehensive Examination of Biomedical Robotics Chapter 5 Data-Driven Models for the Prediction of the COVID-19 Transmission  Chapter 6 Federated Learning and Privacy-Preservation in Healthcare Chapter 7 Revolutionizing Patient Care with Biomedical Robotics in Modern Healthcare Chapter 8 AI-Driven Robotic Systems with Cloud-Based Remote Monitoring for Enhanced Lung Cancer Diagnosis and Surgery Chapter 9 Precision medicine: Smart pills and Ingestible Robots Augmenting and Revolutionizing Drug Delivery Chapter 10 Optimizing Healthcare with Autonomous Robots: Enhancing Efficiency and Patient Care Chapter 11 Advancements in the Field of Biomedical Robotics for Ensuring Safety  Chapter 12 Biomedical Robots for Surgery- The State of the Art and the Future Expected Advancements Chapter 13 The Digital Technologies in Healthcare: Navigating the Digital Transformation with Security and Operational Efficiencies  Chapter 14 Design of Computer Vision-Based Autonomous Wheelchair for Spatially Abled Patients Chapter 15 Privacy-Preserving Machine Learning in Healthcare Chapter 16 Soft Robotics in Healthcare: Pioneering a New Era in Medical Intervention and Rehabilitation

"Biomedical Imaging: Principles and Advancements" offers a captivating exploration of the intricate landscapes within the human body, revealing the transformative power of biomedical imaging.

Foreword. Preface. BIOMEDICAL IMAGING FUNDAMENTALS. Introduction to Biomedical Imaging and Image Processing. Magnetic Resonance Imaging: Functional and Anatomical Imaging Methods and Applications. Infrared Thermography: Principles and Applications in Healthcare. Electrical Impedance Tomography: Fundamentals and Applications. BIOMEDICAL IMAGING APPLICATIONS. Alzheimer’s Disease Image Diagnosis. Classification of Motor Phenotype in Parkinson’s Disease Using Images from Fast Wavelet Transform and Machine Learning. COVID-19 Clinical Diagnosis by Images and Signals. Multimodal Sentiment Analysis from Facial Images and Signals Converted to Images. Images as Signals in Motor Imagery.  Skin Cancer and Hansen’s Disease Diagnosis. Functional Image Detection. Classification of Alzheimer’s Diffusion Images. Biomedical Images Datasets. Index. About the Editors.

This book covers the development of implants from selection of material to outcome following various steps, including biocompatible material, synthesis, and characterization.

1. Introduction to Biocompatible Materials 2. Synthesis and Characterization of Biocompatible materials 3. Recent Advancements in Materials: Nano-composites 4. Medical Imagination for Patients Specific Implants 5. Finite Element Analysis of Medical Implants 6. Modelling and Simulation of Medical Implants 7. Introduction to Conventional and New Generation Manufacturing Processes 8. Design and Development of Conventional Processes for Medical Implants 9. Additive Manufacturing in Bio-medical Applications: Process, Modeling & Optimization 10. Scope of Micro-manufacturing in Medical Implants 11. Failure Analysis and Experimental Evaluation of Implants: Case Studies 12. Sustainable Bio Manufacturing 13. Bio fabrication: Artificial organs and Soft Tissues 14. Capabilities and Limitations of Materials and Manufacturing Processes in Medical Implants 15. Conclusion

V B, Kartha | C, Santhosh

This book discusses biomedical spectroscopy and its applications. Applicable to scientists and medical professionals, the aim of this work is to enable them to work together in this field, so that healthcare facilities can be made routinely available in a cost-effective manner.

1.     Fundamentals of Optical Spectroscopy
2.     Instrumentation, Experimental Techniques and Computational Methods
3.     BioMedical Spectroscopy
4.     Spectroscopy of Animal Models
5.     Spectroscopy of Human Models
6.     Microspectroscopy for Biomedical Applications
7.     Clinical Applications of Optical Spectroscopy – I: Screening, Early Detection, Diagnosis and Staging
8.     Clinical Applications of Optical Spectroscopy – II: Prognosis, Therapy and Follow Up
9.     Biomedical Spectroscopy: Current Trends
Index

This book aims to provide a thorough resource in Biomedical Theragnostics Nanoplatforms with coverage from the basics of nanotechnology to the nuances of designing and manufacturing nanoplatforms to their many uses in biomedicine supported by examples and case studies.

1 Introduction to Biomedical Theragnostics Nanoplatforms; 2 Various Synthesis Approaches to Nanomaterials Used in Biomedical Applications; 3 Nanofluorophores in Theragnostics; 4 Nanomaterials in Cancer Theragnostics; 5 Nanomaterials in Ultrasound Theragnostics; 6 Polymeric Nanocomposites in Theragnostics; 7 1D and 2D Nanomaterials in Theragnostics; 8 Nanoplatforms with Biomimetic Hybrid Membranes; 9 Metal-Organic Frameworks in Theragnostics; 10 Multimodal Imaging-Based Theragnostics; 11 Exploring Quantum Dot Nanoplatforms for Theragnostics Applications; 12 Mesoporous Nanoplatforms in Theragnostics; 13 Magnetic Nanomaterials in MRI-Based Theragnostics; 14 DNA Nanotechnology for Multimodal Theragnostics; 15 Redox-Responsive Nanoplatforms in Theragnostics; 16 Intelligent Responsive Nanoplatforms in Theragnostics; 17 Nanotheragnostics for Personalized Care; 18 Future Potential of Biomedical Theragnostics Nanoplatforms in Real-Life Conditions

Biomaterials & Medical Devices

The text provides an extensive overview of biomimetic and bioinspired materials, covering topics ranging from fundamental principles to advanced applications and future trends. It explores the introduction to biomimetic and bioinspired concepts, synthesis methodologies, membrane technologies, and multifunctional coatings.

1. Introduction to Biomimetic and Bioinspired Materials. 2. Bioinspired Synthesis Techniques. 3. Biomimetic and Bioinspired Approaches in Membrane Preparation. 4. Multifunctional Bioinspired Coatings for Biomedical Applications: Advances in Self-Healing, Stimuli-Responsive, and Antimicrobial Surfaces. 5. Bioinspired Innovations in Energy Materials. 6. Bioinspired Advances in Energy Materials: Unlocking Nature’s Potential for Sustainable Solutions. 7. Bioinspired Heat Transfer and Thermal Management. 8. Biomimetic Materials for Solar Absorption. 9. Biomimetic Materials in Biomedical Engineering. 10. Advancements in Medical Biomimetic Materials: Innovations for Healthcare and Tissue Regeneration. 11. Case Studies on Biomimetic and Bio-Inspired Structures for Different Applications. 12. Additive Manufacturing of Bio-Inspired Composites for Enhanced Mechanical Performance. 13. Advances in Biomimetic Additive Manufacturing: Harnessing Nature-Inspired Design for Complex, Functional Applications. 14. Biomimetic 4D Printing: State-of-the-Art and Perspectives. 15. A Bibliometric Analysis of Biomimetic and Bioinspired Materials for Innovative Solutions. 16. Future Prospects and Trends in Biomimetic Materials.
 

This book covers advances in nanostructured materials across a variety of biomedical applications. It provides an in-depth look at the current state of the art and highlights the most important biomedical applications and devices of nanomaterials, including drug delivery, medical imaging, gene therapy, biosensors, and diagnostics. 

Section A: Biosensors. 1. Electric Biosensors Based on Carbon Nanotubes. 2. Graphene-Based Semiconducting Nanomaterials for Chemical and Biological Sensing Application Biosensors and Their Applications in Human Life and Agroecosystems. 3. An Effective Study on Graphene-Based Biosensors and Their Electrochemical Working Principles. Section B: Drug Delivery. 4. Bionanomaterials for Ocular Drug Delivery Applications. 5. Oxide-Based Nanomaterials for Drug Preparation and Delivery. 6. Advancement in Bionanomaterials toward Drug Delivery and Sensor Applications. Section C: Medical Applications. 7. Hydroxyapatite-Based Nanocomposites: Synthesis, Optimization, and Functionalization for Medical Applications. 8. Insights into 2D MXenes for Versatile Biomedical Applications. 9. Nanobiomaterials of Human Bones for Anatomy and Physiology. 10. Bionanomaterials for Sensors, Actuators, Drug Delivery, and Their Medical Applications.

This book is a comprehensive guide to the current state of bionanomaterials research and their prospective applications in a variety of industrial sectors. It is designed for researchers, scientists, engineers, and graduate students working in the field of bionanomaterials.

Section-I: Introduction, Synthesis and characterization of bionanomaterials. 1. Introduction to bionanomaterials. 2. Synthesis of bionanomaterials by polymers. 3. Characterisation, properties, and application of bionanomaterials extracted from fish scales. Section-II: Bionanomaterials in food applications. 4. Bionanomaterials in Food Packaging. 5. Bionanomaterials in increasing shelf life of food. 6. Bionanomaterials in nutraceuticals. 7. Bionanomaterials In Food Applications and Their Risk Assessment. 8. Bionanomaterials in improving food quality and safety. 9. Bionanomaterials as edible food packaging materials. Section-III: Bionanomaterials in biomedical applications. 10. Applications of Biomimetics and Bionanomaterials in Dentistry. 11. Bionanomaterials in drug delivery: Application of Polysaccharides. 12. Bionanomaterials in Restorative Dental Materials. 13. Bionanomaterials in tissue engineering. 14. Innovative trends and applications of bionanomaterials in skin rejuvenation. 15. Bionanomaterials in diagnosis and therapeutic applications. 16. Bionanomaterials in electrochemical biosensing applications. 17. Bionanomaterials in wound dressings. 18. Bio-nanoparticles impact on human health, an In vitro and In vivo status. 19. Cytotoxicity and Biocompatibility of Bionanomaterials. Section-IV: Bionanomaterials in environmental applications. 20. Bionanomaterials In Environmental Protection. 21. Bionanomaterials in removing organic dyes from water. 22. Bionanomaterials in Wastewater Treatment

Calcium-based natural minerals are important for wide range of applications. Though these materials are available in the nature, researchers are working towards developing these materials in the laboratory. This book introduces the possibility of designing these materials for particular applications.

1. Overview of Calcium-Based Materials. 2. Calcium Phosphate. 3. Calcium-Based Magnetic Biochars. 4. Calcium-Based Metal-Organic Frameworks. 5. Calcium-Based Hydroxide. 6. Calcium Oxide. 7. Environment Application of Natural Materials. 8. X-ray Absorption Spectroscopy of Calcium-Based Natural Materials. 9. Calcium-Based Waste Material for Catalysis. 10. Integration of IoT and AI in Bioengineering of Natural Materials.

This edited volume describes innovations in all steps of the CAR-T manufacturing chain. These vital descriptions will help practitioners to overcome current challenges during the process and vastly reduce costs and enable timely and accessible administration of CAR-T therapy to patients.

1. Immune cell selection and Isolation  2. Strategies for T cell Activation  3. Genetic tools to engineer CAR-T cells: Lessons from clinical studies  4. Intracellular delivery methods for therapeutic immune T-cell engineering  5. Bioreactor technology for CAR T cell manufacturing  6. Quality Control of CAR-T Products  7. Advances for in vivo CAR-T manufacturing

Computational Approaches in Biomaterials and Biomedical Engineering Applications

This book is a comprehensive, up-to-date resource that provides a broad overview of the use of computational methods in the fields of biomaterials and biomedical engineering, with practical examples and expert insights, it is a valuable resource for those working in these fields.

1. Use of Biomaterials in the Field of Biomedical Engineering: Current Trends, Challenges, and Opportunities in Implementations ; 2. Applications of Biomaterials in Advanced Drug Delivery Systems ; 3. Biomaterials in Ophthalmology: Advancements, Applications, and Challenges ; 4. Use of AI and Machine Learning for the Analysis of Cellular Images in Breast Cancer ; 5. Genetic Diagnosis, Classification, and Risk Prediction in Cancer Using Next-Generation Sequencing in Oncology ; 6. AI and ML in the Treatment of Cardiovascular Diseases ; 7. Role of Big Data, AI, and Machine Learning in Decisions for Disease Diagnosis and Treatment ; 8. Artificial Intelligence in Drug Research—A New Wave of Innovation in Drug Discovery162 ; 9. Significance of Artificial Intelligence in the Recognition, Characterization, and Prediction of Hepatocellular Carcinoma ; 10. Artificial Intelligence Applied to Neuromotor Rehabilitation Engineering: Advances and Challenges; 11. Emerging Computational Methods Applied to BCI Systems for Restoring Motor Functions ; 12. Enhancing Telerehabilitation Using Wearable Sensors and AI-Based Machine Learning Methods

This book explores many significant topics in biomedical engineering and bioinformatics in an easily understandable format. It explores the recent developments and applications in bioinformatics, biomechanics, AI, signal processing, wearable sensors, biomaterials, cell biology, big data, and algorithms.

1. Computational Approaches for Discovery of New Drugs for Inflammatory and Infectious Diseases  2. A Bioinformatics Approach Towards Plant-Based Anticancer Drug Discovery  3. Recent Advances in Anticancer Activity and Bioinformatics Approach from Potential Plants  4. Extraction of Phenolic Compounds from some Ayurvedic Botanicals (Nigella sativa, Andrographis paniculata and Phyllanthus amarus) and Evaluation of their Antibacterial and Antiviral Properties using Bioinformatics Approaches  5. Phenolic Compounds: A Systematic Review of Extraction Methods and A Bioinformatics Approach for their Antibacterial and Antiviral Properties  6. Role of Tissue Engineering in The Treatment of Degenerative Diseases  7. An Algorithmic Soft Computing Technique for Identifying Lipase-producing Yeast Using its Gene Expression Data  8. Plant Phenolic Compound Isolation and its Bioinformatics Approaches of Molecular Mechanisms in Antimicrobial Activities and Resistance  9. Computational Evaluation of Peanut Skin Bioactive Compounds for Cancer Treatment  10. Bioinformatics Tools for the Discovery of Potential Anti Diabetic Drugs from Lichens  11. In silico Analysis of Lapachol and Nickel Lapachol Against Tumor Proteins – Insights into the Molecular Interactions and Drug Likeliness  12. Transcriptome Analysis Identifies Genes Involved in Vitamin B Biosynthesis in Solanum virginianum Whole Fruit  13. Identification of Compounds Present in the Eethanolic Extract of Cecropia pachyatachya Trécul Leaves by CG-MS and in silico Studies with the Enzymes 5-LOX and a-1-antitrypsin  14. Computational Biology Approach in Viticultu  15. Screenings of Inhibitory Ability of Vietnamese Medicinal Plants-based Substances and Protein Related Structures: Computation-Pharmacological Experiment Correlation

Transforming Healthcare with Federated Learning and Blockchain Technologies

This book will provide readers with a comprehensive understanding of how federated learning and Blockchain based decentralized solutions are revolutionizing patient-centered care, ensuring data security, and encouraging collaborative networks in the healthcare sector. It also offers the insightful analysis through real-world case studies.

Chapter 1 Recent trends for individual Virtual Healthcare Chapter 2 Securing the Future of Health: A Survey on Data Protection and Privacy Techniques in a Decentralized System Chapter 3  Integrating Blockchain and Federated Learning for Secure and Decentralized Data Management Chapter 4 Fundamentals of Blockchain and Federated Learning: Concepts, Types, and ApplicationsFundamentals of Blockchain and Federated Learning: Concepts, Types, and Applications Chapter 5 Enhancing AI Privacy and Security: The Synergy of Blockchain and Federated Learning Chapter 6 Federated Learning: Enabling Decentralized AI While Preserving Data Privacy Chapter 7 Improving Electronic Health Record Security with Blockchain: A Comprehensive Analysis of Current Innovations and Future Directions Chapter 8 Secure Federated Learning Framework for Training Deep Learning Models  Chapter 9 Blockchain for Electronic Health Records: Advancements, Applications, and Future Prospects  Chapter 10 Blockchain in Healthcare: Enhancing Security, Interoperability, and Efficiency Chapter 11 Revolutionizing Electronic Health Records: Blockchain for Secure and Efficient Healthcare Data Management Chapter 12 Revolutionizing Healthcare Systems with Federated Learning and Blockchain: Insights from Case Studies Chapter 13 Securing and Managing Data in Federated Learning for Healthcare Cyber-Physical Systems: A Blockchain Approach. Chapter 14 Blockchain Security in Healthcare: Ensuring Data Integrity and Privacy Chapter 15 Enhancing Security and Efficiency in Healthcare Through Decentralized and Blockchain-Based Solutions Chapter 16 Protection of data and privacy in decentralized healthcare Chapter 17 Collaborative Healthcare Networks for Medicine Chapter 18 LedgerMed Recognising the Perfect Ledger for Patient-Centric Healthcare through Blockchain Chapter 19 The Future of Healthcare Finance with Blockchain: Predictions and Trends Chapter 20 The Interoperability Challenge in Healthcare Chapter 21 Way Ahead: Decentra

This book emphasizes on advancement in the field of bone repair and regeneration. It introduces bone development, repair and regeneration emphasizing the correlation of the processes including details about different biomaterials and technologies involved in the fabrication, characterization of bone related scaffolds and implants.

I Introduction: The Synthesis and Characterization of Biomaterials for Bone Regeneration 1 Cellular and Molecular Interplay in Bone Homeostasis and Healing; 2 Choice and Selection of Biomaterials for Bone Repair; 3 Synthetic Bone Analogue Materials and Design for Skeletal Tissue Healing; 4 Integrating 3D Printing and Electrospinning to Fabricate Scaffolds for Bone Regeneration; 5 The 3D/4D Printing of Polymeric Scaffolds for Bone Tissue Engineering; 6 Recent Advances in Biodegradable Implants in Bone Tissue Engineering; 7 Recent Advances in Characterization Techniques for Bone Substitutes; II Application of Nanotechnology and Phytomedicines for Bone Repair and Regeneration 8 Spatially Controlled Delivery of Bioactive Cues for Bone Tissue Engineering: From Nano to Macro Scale; 9 Nanotechnology Advancements for Improved Bone Metabolism, Regeneration and Treatment of Bone Diseases; 10 Osteoblast and Osteoclast Crosstalk during Osteo-Homeostasis and Biotherapeutic Interventions; 11 Modulatory Effects of Phytobioactives in Bone Metabolism and Regeneration; III Advancement and Application of Tissue Engineering toward Orthopedic Concerns 12 Unraveling Translational Research on Ultra-High Molecular Weight Polyethylene in Total Hip Joint Arthroplasty: A Lab-to-Industry-Scale Pilot Study; 13 The Physiology of Bone Homeostasis to Aid Experimental Therapeutics in Disease Conditions; 14 Biomimetic Bone Models in Advancing Bone Regeneration and Repair; 15 Biomaterials and Their Carriers for Managing Bone Disorders; 16 Next-Generation Theranostic Tools for Bone Repair and Skeletal Metabolism with Exosomes; 17 Clinically Relevant Bone Diseases and Bone Fracture Animal Models; 18 Advanced Biomaterial-Based Strategies for Intervertebral Disc Repair and Regeneration; 19 Osteoarthritis Pain and Current

This text presents information on biological control systems, mechanotransduction, tissue structure and function and properties that can be integrated together to provide improved implant and device designs. This information is also needed to develop new diagnostic tests and instruments that provide early diagnostic results for diseases.

1 Introduction to Biomaterials Science and Biocompatibility  2 Structure and Properties of Biological Macromolecules  3 Physical Properties of Biological Macromolecules  4 Assembly of Macromolecules into Structural Elements  5 Introduction to Tissue Structure  6 Analysis of the Relationship Between Tissue Structure and Properties  7 Biological Cascades, the Biological Control Systems, and How They Influence Implant Design  8 Biomechanical Measurements on Soft Tissues  9 Introduction to Mechanotransduction  10 Pathobiology of Tissue Responses to Implants  11 Introduction to Tissue Engineering

Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering

This book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers around the world.

1 Applications of Artificial Intelligence and Internet of Things in Healthcare Industries  2 Machine Learning for Internet of Medical Things Applications: Framework, Developments, and Challenges  3 IoT Healthcare's Advanced Decision Support through Computational Intelligence  4 Insights into Thyroid Disease: Harnessing Machine Learning for Analysis and Classification of Multi-Label Medical Data  5 Longitudinal Study on Non-Communicable Diseases Using Machine Learning  6 Uncovering Machine Learning Trends in Biomedical: Pulmonary Disease Diagnosis7 Smart Surgery: Navigating Precision through Machine Learning and IoT  8 Classification and Detection of Brain Tumors in MRI Images Using Machine Learning Techniques  9 Advanced Deep Learning for Early Alzheimer's Detection: A Comparative Analysis  10 Artificial Intelligence and Machine Learning in Biomedical Signal Processing  11 Machine Learning and Internet of Things Biomedical Technologies  12 Revolutionizing Chronic Kidney Disease Prediction: An Enhanced Semi-Supervised Learning Model  13 Analysing the Seamless Integration of Machine Learning and Internet of Things in the Daily Dynamics of Contemporary Living  14 Convergence of AR, VR, IoT with Artificial Intelligence to Train Surgeons for Medical Surgeries  15 An Overview of IoT and Machine Learning Approach in Healthcare  16 Healthcare Unbound: Navigating Emerging Trends and Future Applications in IoT-Based Innovations for Daily Well-being  17 Image-Guided Surgery Through ML and IOT 

An Introductory Guide for Physical Scientists, Engineers, and Biologists

This book equips engineers and physical scientists to make biologically relevant quantitative representations of evolutionary processes. The concepts of evolution are introduced via semi-quantitative treatment with graphical illustrations and explain how evolution experiments are conducted in a laboratory. 

ContentsAbout the Author .......................................................................................................xPreface.......................................................................................................................xiAcknowledgments.................................................................................................. xiiiChapter 1 The Theory of Evolution by Natural Selection....................................11.1 Introduction............................................................................... 11.2 Alfred Russell Wallace and Henry Bates ................................. 31.3 Charles Darwin and the Voyage of the Beagle ........................ 31.4 Wallace Goes Back to Sea........................................................ 51.5 Batesian Mimicry...................................................................... 71.6 Patrick Mathew – Solver of the Origin of Species Problem .... 71.7 Elements of the Theory of Natural Selection ........................... 81.8 Three Components of Natural Selection................................... 91.9 Fitness ..................................................................................... 101.10 Types of Selection .................................................................. 111.11 Limitations of Darwin’s Proposal........................................... 151.12 Origin and Nature of Variation............................................... 181.13 Jenkin’s Objections to Darwin’s Ideas ................................... 181.14 Darwin’s Response to the Criticisms...................................... 191.15 Conclusion .............................................................................. 20Notes .................................................................................................. 21Exercises ............................................

Adapting Diverse Enabling Technologies to Transform Healthcare Delivery

 This book outlines the technologies and clinical applications which constitute the fundamentals of the Intelligent Hospital and the technologies that support patient care and health management across a spectrum of healthcare environments, the home, remote offices and treatment facilities and the hospital itself. 

Section I:   Enabling Hospital Intelligence Section 2:  Technology Enabled Workflows Across the Environment of Care Section 3: Engineering & Technology Development Patient Specific Solutions Section 4:  Technology Management Within the Intelligent Hospital Appendix 1:  Policies & Procedures Appendix 2: Medical Systems – Device Inventory Management Appendix 3: Glossary of Terms
 

Adapting Diverse Enabling Technologies to Transform Healthcare Delivery

 This book outlines the technologies and clinical applications which constitute the fundamentals of the Intelligent Hospital and the technologies that support patient care and health management across a spectrum of healthcare environments, the home, remote offices and treatment facilities and the hospital itself. 

Section I:   Enabling Hospital Intelligence Section 2:  Technology Enabled Workflows Across the Environment of Care Section 3: Engineering & Technology Development Patient Specific Solutions Section 4:  Technology Management Within the Intelligent Hospital Appendix 1:  Policies & Procedures Appendix 2: Medical Systems – Device Inventory Management Appendix 3: Glossary of Terms
 

This book explores the intersection between AI and neurology, focusing on the application of generative models in diagnosing, treating, and managing neurodegenerative diseases. It includes principles of generative AI, its function in neuroimaging, biomarker identification, medication development, and tailored treatment options.

1. The Power of Generative Models: Theoretical Essentials, Foundations and Applications
2. Overview of Current Technologies in Neurology with AI
3. Unlocking Neural Pathways: Large Language Models Pioneering Innovative Treatments in Neurodegenerative Diseases
4. A Novel Framework for AI-Powered Cognitive Tests for Improved Early Awareness in Alzheimer’s Disease
5. Generative AI for Biomarkers Discovery Identifies Early Signs of Disease
6. Improved Early Awareness: Parkinson’s Disease, ALS, Alzheimer’s Disease
7. Future of Early Diagnosis: Artificial Intelligence’s Role in Neurodegenerative Disease Detection
8. Enhancing Seizure Prediction, Diagnosis, and Treatment Using Artificial Intelligence in Epilepsy Intervention
9. Advancing Parkinson’s Disease Detection: A Raw Voice Waveform Approach with Generative AI Augmentation
10. Early Alzheimer’s Disease Diagnosis Using Generative AI and a Hybrid Capsule Network with Attention Mechanism
11. Custom Deep Neural Network for Early Detection of Neurodegenerative Disorders: A Multimodal Approach
12. Integration of Generative AI with Personalized Medicine in Neurology
13. Using Generative Artificial Intelligence in Neurodegenerative Disease Management
14. Exploring the Role of Generative AI Models in Neurodegenerative Disease Estimation
15. The Generative AI Revolution in Neurodegenerative Disease Research: Navigating Challenges, Embracing Opportunities

Global Medical Physics: A Guide for International Collaboration  provides essential guidance for medical physicists and other healthcare professionals seeking to collaborate internationally in clinical, educational, and research settings.

1. Introduction to Global Medical Physics
2. Challenges and Opportunities for Global Collaboration
3. Building Global Collaborations
4. Sustainability in Global Collaborations
5. Global Collaborations with Industry
6. Global Collaboration Successes and Failures
7. Mentoring in the Global Context
8. Global Health Career Considerations for Medical Physicists
9. Advocacy and Diplomacy in Support of International Collaborations
10. The Role of Information Computer Technologies (ICTs) in Global Collaborations
11. Global Collaboration on Data Sharing
12. Global Collaborations: The American Physical Society (APS) Perspective
13. Ethical Considerations in Global Interactions
14. Equity, Diversity, Inclusion (EDI) in the Global Medical Physics Context
15. Education and Training for Collaborative Activities
16. Global Medical Physics Collaboration Organizations
17. Options for Collaboration
18. Summary and Recommendations

Global Medical Physics: A Guide for International Collaboration  provides essential guidance for medical physicists and other healthcare professionals seeking to collaborate internationally in clinical, educational, and research settings.

1. Introduction to Global Medical Physics
2. Challenges and Opportunities for Global Collaboration
3. Building Global Collaborations
4. Sustainability in Global Collaborations
5. Global Collaborations with Industry
6. Global Collaboration Successes and Failures
7. Mentoring in the Global Context
8. Global Health Career Considerations for Medical Physicists
9. Advocacy and Diplomacy in Support of International Collaborations
10. The Role of Information Computer Technologies (ICTs) in Global Collaborations
11. Global Collaboration on Data Sharing
12. Global Collaborations: The American Physical Society (APS) Perspective
13. Ethical Considerations in Global Interactions
14. Equity, Diversity, Inclusion (EDI) in the Global Medical Physics Context
15. Education and Training for Collaborative Activities
16. Global Medical Physics Collaboration Organizations
17. Options for Collaboration
18. Summary and Recommendations

Biomaterials & Medical Devices

Presents groundbreaking work on chitosan-based graft copolymers and graft polysaccharides as excipients for solid dosage forms. Explore green-synthesized nanobactericides and the use of graft polymers to formulate nanoparticles. Discusses improving biodegradability, biocompatibility, and the development of smart hydrogels, and more.

Foreword Preface 1. Chitosan-Based Graft Copolymers: Synthesis and Application 2. Green Synthesized Nanobactericides Using Medicinal Plant Calotropis gigantea: A Review 3. Emerging Potential of Semi-Synthetic Biodegradable Polymer in Medical Science 4. Advances in Development of Shape Memory Polymers Using Grafted Polysaccharides 5. Improving Biodegradability and Biocompatibility of Copolymers Using Grafting 6. Development of Smart Hydrogel Using Polysaccharide-Based Graft Copolymer 7. Application of Grafted Polysaccharides in Bone Marrow Regeneration 8. Current Study in Synthesis and Application of Chitosan-Based Grafted Copolymers 9. Grafted Copolymer of Polysaccharide in the Development of Nanoparticles 10. Grafted Polymer for Biomedical Applications 11. Nanotechnology-Driven Biomolecules for Healthcare Applications 12. Grafted Polysaccharide as an Excipient for the Formulation of Solid Dosage Form

This book examines four major application domains related to texture analysis and their relationship to AI-based industrial applications: texture classification, texture segmentation, shape from texture, and texture synthesis. 

1 Texture Analysis in Neuroradiology  2 Information Theoretic Entropy Approaches and Their Applications to Texture Analysis  3 Texture Analysis in Chronic Liver Diseases  4 Role of Texture Analysis in the Clinical Management of Focal Liver Lesions  5 Texture Analysis in Abdominal Imaging 6 Texture Modeling in Optical Coherence Tomography Images  7 Texture Analysis in Thoracic Imaging  8 Applications of Texture Analysis in Prostate Cancer  9 Texture Analysis for Breast Ultrasound Using Conventional Method and Deep Learning  10 Texture Analysis and Machine Learning on MRI for the Quality Evaluation of Meat Products  11 Comparison of Image Processing Techniques with Supervised Machine Learning vs. Deep Learning Based on Texture Analysis to Detect Powdery Mildew on Strawberry Leaves  12 A Radiomic Features–Based Pipeline for Accurate Bladder Cancer Staging 

This volume presents important branches of texture analysis methods which find a proper application in AI-based medical image analysis.

1 An Exploratory Review on Local Binary Descriptors for Texture Classification 2 Precision Grading of Glioma: A System for Accurate Diagnosis and Treatment Planning 3 Enhancing Accuracy in Liver Tumor Detection and Grading: A Computer-Aided Diagnostic System 4 Texture Analysis in Radiology 5 Texture Analysis Using a Self-Organizing Feature Map 6 Sensor-Based Human Activity Recognition Analysis Using Machine Learning and Topological Data Analysis (TDA) 7 Application of Texture Analysis in Retinal OCT Imaging 8 Automation in Pneumonia Detection 9 Texture for Neuroimaging 10 A Multimodal MR-Based CAD System for Precise Assessment of Prostatic Adenocarcinoma 11 Texture Analysis in Cancer Prognosis

This book provides detailed information on mobile health applications, biodata management and analytics, medical imaging, personalized and public health systems, and biosignal processing. Focusing on medical informatics, it highlights engineering applications and methodologies involved in data evaluations.

1. Relevant Application of Machine Learning in the Management of COVID-19.  2. Application of Artificial Intelligence in the Handling of COVID-19.  3. Emerging Technologies That Are Relevant in Protecting Health Data and Easy Communication Between Patients and Health Care Providers.  4. Prediction of Pandemic and Epidemic Outbreak.  5. Artificial Intelligence and Deep Learning in Treatment of Diseases Using Bioinformatics.  6. Personalized and Public Health Systems.  7. Application of Artificial Intelligence in Dentistry and Orthodontics.  8. Artificial Intelligence and Deep Learning Process and Drug Discovery.  9. Clinical Trials in Health Informatics.  10. SmartCare and Its Advantages in Biomedical Technologies and Health Informatics.  11. Role of Artificial Intelligence and Machine Learning in the Identification, Diagnosis and  Monitoring of Disease Conditions and Health Epidemics. 12. Recent Advances in the Personalized Medicine and Their Key Role in Public Health Systems.  13. IoT-Driven and the Role of Robotic Technology in Healthcare.  14. The Role of 5G in Healthcare Centres Towards the Provision of Healthcare.  

Torres Farinha, José Manuel

Hospital Asset Maintenance Engineering for the Next Century offers a cutting-edge perspective on the management of physical assets within hospitals, incorporating life cycle assessment support models applicable to various types of assets.

Contents
About the Author........................................................................................................ix
Chapter 1 Global Framework.................................................................................1
1.1 Framework..................................................................................1
1.2 Physical Assets KPI’s..................................................................3
1.3 Physical Assets Around the World..............................................6
1.4 Political Options.......................................................................10
Chapter 2 Physical Assets....................................................................................14
2.1 Buildings...................................................................................14
2.2 Technical Facilities...................................................................16
2.3 Equipment.................................................................................17
Chapter 3 Physical Assets Maintenance..............................................................26
3.1 Framework................................................................................26
3.1.1 Transversal Concepts...................................................26
3.1.2 Maintenance Algorithms.............................................28
3.1.3 Metrology....................................................................30
3.1.4 Key Performance Indicators........................................36
3.2 Building Maintenance...............................................................40
3.3 Technical Facilities Maintenance..............................................42
3.4 Equipment Maintenance...........................................................46
3.5 New Ma

Discusses ML in predictive health analytics, pandemic management, AI ethics, application and integration of IoT and ML for effective healthcare, and more. Covers a range of bioinformatics tools and methods and their relation to drug designing and screening using ML.

1. Role of Machine Learning in High-Throughput Screening of Drug Molecules 2. Solving a Capacitated Vehicle Routing Problem with Time Windows Using Dijkstra’s Algorithm: A Case Study on COVID Vaccine Distribution 3. Heart Disease Prediction: A Clustering-Based Clinical Decision Support Approach 4. Application of Fuzzy Tools to Avoid Reoccurrence of Prostate Cancer Post-Treatment 5. Machine Learning: A Quantum Leap in Data Mining Modalities for Healthcare Upliftment 6. Impact of Matrix Factorization-Based Dimensionality Reduction in the Prediction of Diseases 7. Applications of Bioinformatics and Machine Learning Algorithms in Survival Analysis of Cancer Patients 8. Speech Signal Analysis Using Gammatone-Frequency Cepstral Coefficient for Parkinson's Disease Prediction 9. Evaluating the Performance of Tree-Based Classifiers for Predicting Marginal and Acute Cardiovascular Diseases: A Comprehensive Review 10. Human Health Data Analysis Using Machine Learning 11. COVIDIncResNet: An Efficient Approach for CNN-Based Covid Classification Model Using ECG Images 12. The Role of Artificial Intelligence in Medical Image Analysis for Disease Diagnosis 13. Application of Machine Learning in Bioinformatics: Capture and Interpret Biological Data

This book discusses advanced knowledge about the synthesis and application of materials in the medical field for diagnostic and therapeutic conditions. These materials have been extensively used in various biological and medical applications especially in drug delivery, tumor screening, bioimaging, diagnosis, and also in therapies.

1. Materials Types and Classifications. 2. Synthesis of Materials by Synthetic Approach. 3. Synthesis of Materials by Biological Approach 4. Chemical Characterization of Materials. 5. Structural Characterization of Materials. 6. In vitro Testing of Materials for Medical Applications. 7. In vivo Testing of Materials for Medical Applications. 8. Clinical Trials of Materials for Medical Applications 9. Business and Market of Material Products for Medical Applications. 10. Development of Material Products for Medical Applications. 11.Challenges of Material Products Used in Medical Applications. 12.Research Trends in Materials Synthesis and Medical Applications.

Biomaterials & Medical Devices

This book was written with the goal of helping students learn the essentials of metallic biomaterials and acquire knowledge that can be applied in a progressive manner. The target audience for this book are students, graduate students, engineers, doctors especially dentists, and others who need knowledge about metallic biomaterials.

Preface. Notes on Using This Book. Current Status of Metallic Biomaterials. General Property of Metals in Biological Environment. Evaluation Methods of Metallic Biomaterials. Medical Use of Metals. Degradation and Current Problem of Metallic Biomaterials. Titanium and Titanium Alloys. Cobalt-Based Alloys. Stainless Steels. Other Metals and Functional Alloys. Surface Treatment and Surface Morphology. Appendix: Specifications of Metallic Biomaterials. Index.

This definitive guide provides readers with an overview of multifuntional nanoparticles, delving into their novel synthesis methods, unique properties, and diverse applications in therapy, biology, and pharmacy. It also explores techniques for synthesizing magnetic nanoparticles, and explains how to tailor nanoparticles with desired traits. 

Chapter 1- Multifunctional Nanoparticles: Synthesis, Characterization, structure and properties 
Chapter 2- Fundamentals of multifunctional magnetic nanoparticles
Chapter 3- Recent trends in the synthesis of multifunctional magnetic nanoparticles
Chapter 4- Design and movements of drug in human metabolism by multifunctional magnetic nanoparticles 
Chapter 5- Multifunctional magnetic nanoparticles in hyperthermia therapy    
Chapter 6- Multifunctional magnetic nanoparticles in the separation and detection of biological objects: Bacteria and viruses 
Chapter 7- Multifunctional magnetic nanoparticles in the separation and detection of biological molecules: Proteins, enzymes and nucleic acid
Chapter 8- Multifunctional magnetic nanoparticles in biocatalyst 
Chapter 9- Multifunctional particles used in bio- and nanobiotechnology their properties 
Chapter 10- Multifunctional Magnetic particles and their applications in cell and molecular biology 
Chapter 11- Multifunctional magnetic nanoparticles in antimicrobial applications 
Chapter 12- Multifunctional magnetic nanoparticles in nanotoxicology 
Chapter 13- Multifunctional magnetic nanoparticles in electrochemical sensors for pharmaceuticals 
Chapter 14- The preparation of Multifunctional nanoparticles for applications in biomedicine 
Chapter 15- Multifunctional magnetic nanoparticles in drug treatments 
Chapter 16- Safety and Toxicity Issues of Multifunctional Magnetic Nanoparticles 
Chapter 17- Future Perspectives of Multifunctional Magnetic Nanoparticles in therapy, biology and pharmacy 

Discusses nanocomposites in biomedicine, highlighting their unique properties and many applications. Discusses mechanisms, preparation methods, recycled biomedical waste materials, use in drug delivery systems, applications for diseases and cancer treatment, etc.

Foreward Preface 1. Introduction and Mechanisms of Various Nanocomposites and Their Advantages and Disadvantages 2. Different Types of Nanocomposites Used in Biomedical Applications 3. Basic and Modern Methods for the Preparation of Nanocomposites for Biomedical Applications 4. Drug Delivery Systems Using Various Nanocomposites 5. Nanocomposites from Recycled Waste Materials and Their Utilization in Biomedical Fields 6. Role and Applications of Biodegradable Nanocomposites versus Nondegradable Nanocomposites in Biomedical Applications 7. Nanocomposites Applications in Pharmaceutical Medicines and Biotechnological Products 8. Impact of Nanocomposites on Pollutants Prone to Ecosystem and Human Health 9. Application of Nanocomposites for Various Diseases 10. Applications of Nanocomposites for Cancer Therapy 11. Application of Nanocomposites for 3D and 4D Printing of Nanomaterials in Biomedical Research 12. Biomedical Applications of Various Herbal Nanocomposites 13. Applications of Various Nanocomposites Used for Antimicrobial Activity, Tissue Engineering, Biosensors, and Dental 14. Future Aspects and Trends of Nanocomposites in Various Biomedical Applications 15. India, US, and Other Foreign Regulatory Guidelines for Nanocomposites

This book meticulously compiles diverse green approaches that highlight nature's synthetic prowess and its lavish abundance in nanomaterial synthesis, showcasing potential applications. It unveils the lucrative pathways nature provides for cutting-edge advancements in synthetic methodologies and material applications.

Preface. Unleashing the Cues of Nanomaterials Synthesis: A Thermodynamic Evaluation. Biosynthesis of Silver Nanoparticles Using Leaf Extracts Characteristics. Nanofabrication Using Natural Cohorts. Nanofabrication Using Common Kitchen/Domestic Wastes: An Approach Towards Sustainability and Circular Economy. Nanofabrication Using Physical Methods. Zno Nanostructured Materials for Surface and Biological Applications. Electrochemical Flaking of Graphene in Aqueous System. Selenium Nanoparticles: Characteristics, Production, and Applications. Strategies for Physicochemical Synthesis of Manganese Nanomaterials: A Present View. Fabrication of Ceramic Nano Powder Processing Techniques by Solid State Synthesis. Nanofabrication of Porous Structures: Solution Combustion Synthesis of Advanced Electrode Materials in Energy Storage Devices. Physicochemical Dependency of Biochar-based Nano-phase Composites Derived through Ball Milling for Visionary Energy Storage Applications. Nanofabrication Using Natural Flavonoids for Biomedical Applications. Structural and Mechanical Aspects of Nanocomposite Hard Thin Films for Device Fabrication at Nanoscale. Nanocrystalline Diamond Films as Solid Lubricant Coatings for Extreme Tribological Environments. Index.

This book deals with the new emerging fields such as Point-of-care (POC) technologies, advanced nanotheranostics using nanomaterials, technologies, and applications in diagnosis. Current advances for the application of nanomaterials such as carbon nanotubes, graphene, and magnetic nanoparticles in POC devices & future directions are reviewed.

1. Introduction to nanomaterials for point of care diagnostics:Technologies and applications. 2. Nanotechnology-Based Diagnostics for Healthcare. 3. Biomaterials for Theranostic Nanosystems. 4. Functionalized Graphene Nanomaterials for Electrochemical Sensors. 5. DNA nanotechnology for point of care diagnosis. 6. Strategic synthesis of diagnostic novel materials against infectious Diseases: Past, Present, and Future. 7. Carbon nanobots as biosensors for infectious diseases. 8. ORGANIC CRYSTALLINE MATERIALS FOR HEALTHCARE DIAGNOSTICS: Growth and biological uses of 4-(Carboxymethoxy) anilinium bromide macro, thin-film and nano crystalline specimen. 9. Artificial Intelligence - the Imperative tool in Health Care Innovations employing Nanotechnology. 10. Promising Trends in Nanobiosensor-Artificial Intelligence (AI) based sensor devices for virus detection and precision medicine. 11. Advanced Nanomaterials for Diabetes Monitoring and Therapeutics. 12. Magnetic Digital Microfluidics: promising technology for point-of-care diagnostics: recent developments. 13. Wearable sensors and advancement using nanotechnology.

Nanotheranostic is a growing field that describes the use of nanotechnology for diagnostic and therapeutic applications. The book reviews the advancements in nanotheranostics in modern healthcare, and describes the preparatory methods of nano carriers for theranostic purposes.

Chapter 1 Introduction to Nanotheranostics: Preparation and Applications Chapter 2 Biopolymer-Based Nanotheranostics in Biomedical Applications  Chapter 3 Biopolymeric Nanotheranostics in Cancer Therapy Chapter 4 Theranostic Nanostructures as Biosensors Chapter 5 Theranostic Nanoparticles as In Vitro Diagnostic Tool Chapter 6 Nanotheranostics for In Vivo Imaging Chapter 7 Image-Guided Therapeutic Applications of Theranostic Nanomaterials Chapter 8 Hyaluronic Acid-Based Nanoparticles for Theranostic Applications Chapter 9 Chitosan Based Nanostructures for Theranostic Applications Chapter 10 Smart Polymers in Theranostic Applications Chapter 11 Theranostic Metallic Nanoparticles Chapter 12 Assessment of Theranostic Nanomaterials for Tumor Therapy Chapter 13 3D Printing in Theranostic Applications Chapter 14 Stimuli-Responsive Inorganic and Metallic Nanoparticles for the Management of Inflammatory Arthritis Chapter 15 Evaluation of Theranostic Nanomaterials

Non-Invasive Health Systems based on Advanced Biomedical Signal and Image Processing

The book contains up-to-date noninvasive monitoring and diagnosing systems closely developed by a set of scientists, engineers, and physicians. The chapters are the results of different biomedical projects and theoretical studies that were coupled by simulations and real-world data.

1. Upper Limb Recovery Prediction Based on Multilevel Mixed Effect EMG Synergy and Biomarker Values.  2. EMG Feature Extraction Based on Cardinality with Deep Learning Concepts.  3. Surface Electromyography Sensors for Human Activity Recognition: Recent Advancements and Perspectives.  4. ECG signal monitoring and processing in the operating room.  5. Photoplethysmography and Inertial Sensors in Wearable Devices for Healthcare: Multimodal Signal Processing for Increasing Accuracy.  6. Non-invasive system for measuring parameters relevant to sleep quality and detecting sleep diseases: The data model.  7. PREDICTING INCIDENCE OF STROKE VIA SUPERVISED MACHINE LEARNING METHODS ON CLASS IMBALANCED DATA.  8. Ultrasound vector flow imaging, a promising technique towards a new carotid atheroma risk stratification.  9. A Pre-screening Technique for Coronary Artery Disease with Multi-channel Phonocardiography and Electrocardiography.  10. Exploring the feasibility of estimating the carotid-to-femoral pulse wave velocity using machine learning algorithms.  11. DVT Diagnosis based on HOS & Scattering Operators.  12. Non-invasive AI-assisted Techniques for 3D Printing of the Heart via Image Analysis: Current State, Challenges, and Future Directions.  13. COVID-19 and Pneumonia Detection System using Deep Learning with Chest X-ray Images.  14. Scattering Operators and high order statistics along with Elastography to Identify & Characterize Salivary Gland Abnormalities.  15. SA-SVM Classification-Based Smart Feature Selection Algorithm for Skin Cancer Detection.  16. A Review on Advanced CNN Architecture in Diagnosing Alzheimer’s Disease.  17. Combination of sensors-based monitoring system and internet of things (IoT): A survey and framework for remote and intensive care unit patients.  18. End-to end solutions for the Remote Monitoring of Post-operative Prehabilitation program: IoT solution challenges.  

This book explains the principles and techniques of microwave physiological sensing and introduces fundamental results of noninvasive sensing of physiological signatures, signs, and life detection. Techniques for contact and remote sensing of circulatory and respiratory movements and physiological volume changes are discussed.

1. Introduction.  2. Pioneering Investigations.  3. Microwave Propagation, Reflection, and Scattering.  4. Microwave Property of Living Matters.  5. Microwaves in Biological Systems.  6. System Analysis and Signal Processing.  7. Vital Sign Sensing: Heartbeat and Respiration.  8. Arterial Pulse Wave and Pressure Sensing.  9. Sensing of Tissue Volume Change and Redistribution.  10. Wearable Devices and Sensors.  11. Advanced Topics and Contemporary Applications.  Appendix. Standard prefixes used with units of the international system (SI) of measurements.

Miškovic-Stankovic, Vesna | Atanackovic, Teodor

Novel Antibacterial Biomaterials for Medical Applications and Modeling of Drug Release Process

This book provides a comprehensive review of synthesis and physicochemical and biological characterization of novel antibacterial biomaterials produced according to original procedures and aimed at medical applications such as wound dressing, soft and hard tissue implants, drug delivery devices and carriers for cell cultivation

1. Introduction. 2. Hydrogels Aimed for Wound Dressings and Soft Tissue Implants.  3. Hydroxyapatite-Based Coatings Aimed for Hard Tissue Implants. 4. Modeling of Drug Release Processes: Fractional Derivative Models and Comparison with Standard Models.

Sun, Dechuan | French, Chris | Unnithan, Ranjith R

Using a Miniscope to Detect Multi-Neuronal Dynamics during Cognition-Related Events

In this shortform book, Sun, French, and Unnithan explore state-of-the-art optical recording techniques, with a focus on the revolutionary miniaturized fluorescence microscope – the miniscope – for real-time and in vivo monitoring of multi-neuronal dynamics during cognition-related events.

Weerasinghe, Laksiri | Selvaraj, Saranya

This book provides an overview of the field of peptide-based nanomaterials, from their synthesis to their applications. It covers the latest advancements in peptide nanotechnology and provides detailed insights into various aspects of peptide-based nanomaterials, including their properties, synthesis, characterization, and applications.

1. Introduction to peptides in nanotechnology  2. Synthesis and characterization of peptides  3. Peptide-based nanostructures  4. Peptides for drug delivery with nanomaterials  5. Applications of peptide-conjugated nanomaterials  6. Future directions and challenges in peptide nanotechnology

Hassaan, Mohamed Aly | Ukhurebor, Kingsley Eghonghon | Aigbe, Uyiosa Osagie | Onyancha, Robert Birundu | Dardeer, Amr Gamal | ElKatory, Marwa Ramadan | Atoe, Kenneth | El Nemr, Ahmed

Environmental Fate, Health Impacts, and Remediation Strategies

This book provides useful information on recent advancements in the use of perfluoroalkyl and polyfluoroalkyl substances, as well as their sources, environmental fate and conveyance, potential health impacts, and remediation strategies by harnessing the latest research findings and key scientific literature.

An Overview of Perfluoroalkyl and Polyfluoroalkyl Substances; Sources and Production of Perfluoroalkyl and Polyfluoroalkyl Substances; Environmental Fate and Transport of Perfluoroalkyl and Polyfluoroalkyl Substances; Regulations and Guidelines for Perfluoroalkyl and Polyfluoroalkyl Substances; Analytical Methods and Monitoring for Perfluoroalkyl and Polyfluoroalkyl Substances; Remediation Strategies for Perfluoroalkyl and Polyfluoroalkyl Substances; Pathways of Human Exposure to Perfluoroalkyl and Polyfluoroalkyl Substances and Health Effects; Knowledge Gaps and Future Research Directions for Perfluoroalkyl and Polyfluoroalkyl Substances

Hassaan, Mohamed Aly | Ukhurebor, Kingsley Eghonghon | Aigbe, Uyiosa Osagie | Onyancha, Robert Birundu | Dardeer, Amr Gamal | ElKatory, Marwa Ramadan | Atoe, Kenneth | El Nemr, Ahmed

Environmental Fate, Health Impacts, and Remediation Strategies

This book provides useful information on recent advancements in the use of perfluoroalkyl and polyfluoroalkyl substances, as well as their sources, environmental fate and conveyance, potential health impacts, and remediation strategies by harnessing the latest research findings and key scientific literature.

An Overview of Perfluoroalkyl and Polyfluoroalkyl Substances; Sources and Production of Perfluoroalkyl and Polyfluoroalkyl Substances; Environmental Fate and Transport of Perfluoroalkyl and Polyfluoroalkyl Substances; Regulations and Guidelines for Perfluoroalkyl and Polyfluoroalkyl Substances; Analytical Methods and Monitoring for Perfluoroalkyl and Polyfluoroalkyl Substances; Remediation Strategies for Perfluoroalkyl and Polyfluoroalkyl Substances; Pathways of Human Exposure to Perfluoroalkyl and Polyfluoroalkyl Substances and Health Effects; Knowledge Gaps and Future Research Directions for Perfluoroalkyl and Polyfluoroalkyl Substances

Discusses the influence of social media on our lives. Explores influence of social media on organizational culture and business ethics, on business marketing strategies, on consumer buying behavior, on workplace mental well-being, on academic motivation in college students, internet addiction, and more.

Preface Introduction 1. Postharvest Physiology of Horticultural Crops 2. Postharvest Losses in Fruits and Vegetables 3. Postharvest Physiological Disorders in Fruits and Vegetables 4. Preharvest Factors Affecting Postharvest Physiological Disorders 5. Postharvest Factors Affecting Physiological Disorders 6. Temperature-Related Physiological Disorders of Fruits and Vegetables 7. Low-Temperature Related Physiological Disorders 8. Calcium-Related Physiological Disorders 9. Water Loss and Humidity Physiological Disorders 10. Storage Atmosphere-Related Physiological Disorders 11. Physiological and Biochemical Aspects of Physiological Disorders 12. Causes of Physiological Disorders 13. Mechanism and Management of Postharvest Physiological Disorders 14. Future Aspects of Postharvest Physiological Disorders Index

Fully updated throughout, this second edition of Physiology, Biophysics and Biomedical Engineering provides a multidisciplinary understanding of biological phenomena and the instrumentation for monitoring these phenomena. 

Volume 1: Human biophysical physiology  1. Introduction to Physiological Systems  2. Molecular Biophysics  3. Membrane Biophysics  4. Excitability and Synapses  5. Skeletal Muscle Biophysics  6. Cardiac Biophysics  7. Rheology of Blood  8. The Vascular System: Blood Flow Patterns in Various Parts of the Circulation  9. Respiratory Biophysics  10. Renal Biophysics and Dialysis  11. The Organisation of the Human Central Nervous System  12. The Biophysics of Sensation – General  13. Vision  14. Audition and Vestibular Sense  15. Chemical Senses
Volume 2: Biomedical engineering and instrumentation  1. Fundamentals of Electrical Circuits for Biomedicine  2. Electrodes for Measuring Biogenic Electrical Activity 3. Cardiovascular System Monitoring  4. Respiratory Biophysics  5. Renal Biophysics and Dialysis  6. Cardiopulmonary Perfusion and Advanced Surgical Techniques  7. Physiological Signal Processing  8. Bioelectrical Signals: The Electroencephalogram  9. Magnetic Stimulation and Biomagnetic Signals  10. Medical Imaging  11. Microscopy & Biophotonics  12. Physiological Modelling  13. Biomaterials and Biomechanics  14. Biosensors and Emerging Technologies

Piezoelectric as Smart Biomaterials for Cardiovascular Tissue Regeneration

This book covers the range of piezoelectric biomaterials having the potential for applications in cardiac tissue engineering (CTE) and addresses the recent developments, trends, and challenges of piezoelectric biomaterials for targeted cardiovascular disease (CVD) therapies.

1. Function Anatomy of the Human Heart 2. Cellular Sources and Biomechanical Conditioning for Cardiac Tissue Engineering 3. Biomaterials for Cardiac Tissue Engineering 4. Electroconductive Biomaterials for Cardiac Tissue Engineering 5. Piezoelectric Fundamentals and Properties 6. Piezoelectric Materials in Cardiac Patches for Cardiovascular Disease 7. Biomaterial-driven Differentiation and Maturation of Cardiomyocytes: Advancements in Cardiac Tissue Engineering 8. Piezoelectric Biomaterials for the Development of Cardiac Sensors and Actuators 9. Elastomer Actuators for Heart Tissue

Munaweera, Imalka | Yapa, Piumika

This book covers a vast sketch of information regarding nanotherapeutics including knowledge based on fundamentals, history and progress, applications, practical aspects and examples, and prospects of nanotherapeutics.

1. Introduction To Nanotherapeutics 2. Nanotherapeutics – An Emerging Topic In Health Sciences 3. Applications Of Nanotherapeutics 4. Nanotherapeutics For Global Health Challenges 5. Opportunities And Challenges Of Nanotherapeutics 6. Prospects Of Nanotherapeutics.

This book rigorously establishes some key aspects of Raman basic science in the biomedical field and discusses the physics governing its application to both synthetic and natural biomaterials by disentangling spectrally convoluted dependencies on crystal orientation, chemical and stoichiometric alterations, and mechanical stress.

1. Introduction 2. Theoretical Foundations and State of the Art in Raman Spectroscopy 3. Raman Probe, Spectroscopic Equipment and Software 4. Raman Selection Rules and their Experimental Verification 5. Secular Equations and their Experimental Verification 6. Orientation Distribution Functions for Statistical Analyses in the Probe Volume 7. Conclusions and Future Perspectives Appendix: Short Tutorial on Group Theory and Space Groups in Real and Reciprocal Spaces

This book applies the equations and algorithms developed in the companion book to illustrative examples in the field of biomedical science, which include healthy and diseased hard and soft tissues in the human body, synthetic materials for biomedical devices, and a number of biological molecules in cells and bacteria.

1. Hard and Soft Tissues in Health and Disease 2. Ceramic and Polymeric Components of Biomedical Devices 3. Biological Molecules

Introduces communication systems in healthcare and the role of 5G technology. Discusses specific applications, such as in remote surgery, robotic-assisted procedures; in telemedicine and mobile health apps; in dentistry; and more. Showcases applications of AI, big data, digital twin, real-time data analytics, etc. in the healthcare sector.

Introduction 1. Revolutionary Impact of 5G on the Advancement of Technology in Healthcare 2. Remote Surgery and Robotic-Assisted Procedures: Technologies, Benefits, and Limitations, Applications, Regulatory Framework, and Future Trends 3. Liver Tumor Segmentation and Classification Model Using HDFOA-Based Deep Learning Model in Smart 5G Health Monitoring 4. Real-Time Data Analytics and Artificial Intelligence in Healthcare 5. Evaluation of AI in Healthcare: A Systematic Review on India 6. The Impact of 5G Technology on Telemedicine and Mobile Health Apps 7. Burgeoning Role and Importance of Digital Twin Technology in Precision Healthcare 8. Smart Healthcare Systems: The Fusion of Artificial Intelligence and Big Data in Patient Care 9. Role of 5G and Artificial Intelligence in Dentistry 10. Evolution of Communication in Advancing the Healthcare 11. 5G and Intelligence Medicine: Empowering Precision Medicine and Healthcare Through Next-Generation Technology 12. Health Tech Synergy: Real-Time Data Analytics, AI (Artificial Intelligence), and 5G Revolutionizing Healthcare 13. Telemedicine and Health Security in Nigeria 14. Security in 5G-Supported Health Data Exchange: Current Status and Open Challenges 15. Comprehensive Analysis of the Role of Intelligent Systems and the Use of Big Data in the Healthcare Sector 16. 5G Fog-Based Secure Data Management System for Secure and Reliable Healthcare Data Exchange 17. Role of 5G in Building Application of the Pathology Lab in Liver Diseases Detection Using Artificial Intelligence 18. Impact and Application of 5G-Enabled Technologies in Healthcare 19. Enhanced Telemedicine and Remote Care 20. 5G and Artificial Intelligence in Healthcare: Relight the Future

The aim of this book is to identify some of the challenges that need to be addressed to accelerate the deployment and adoption of smart health technologies for ubiquitous healthcare access especially in wearable devices.

1. Secured Smart Devices for Medical 4.0 Technologies: Threats and Approaches  2. Low-Cost Versatile Remote Healthcare Monitoring of Bedridden Patients  3. Transfer Learning and Domain-Specific Adoption Algorithms for Image Classification  4. Artificial Intelligence and Internet of Things Mechanism for Smart Healthcare 4.0  5. Significance of Quality Attributes of IoT-Based Smart Devices in Healthcare Monitoring Systems: Leading Towards Success or Failure  6. Smart Paralysis Revolution: BCI Virtual Keyboards Unleashed in Healthcare  7. Hardware Enhanced Secure Data Forwarding Protocol for Optimized Throughput in Wireless Body Area Networks  8. HealthCoin: Solidity-Backed Blockchain Ventures in Smart Healthcare Technologies  9. AI-Driven Smart Healthcare System for Monitoring Drought and Analyzing Climate Change: Impacts in Healthcare for Medical 4.0  10. Fortifying Healthcare Cybersecurity: A Sturdiness-Based Approach to Threat Modeling and Risk Analysis 

Smart Electronic Devices and Systems for Biomedical and Healthcare Applications

Explores the development of smart bioelectronics and biomedical devices using advanced information technology. Considers the integration of smart technologies in healthcare, employing big data analytics, the Internet of Things, machine learning, and other technologies for predictive modeling, etc., for medical diagnosis and treatment.

1. The Role of Big Data Analytics and IoT in the Healthcare Domain.  2. Machine Learning Techniques Used for Biomedical and Healthcare Systems.  3. Study of ML-Enabled Big Data Analysis for IoT-Based Smart Medico Systems.  4. Predictive Modeling of Vector-Borne Diseases and Their Pathogens Using Artificial Intelligence.  5. Machine Learning with Cloud-IoT in a Health Prediction System.  6. Implementation of Compact Dual-Band Printed Antenna for Biomedical Applications.  7. Biomedical Applications Based on Mobile Phone Cell Network Systems.  8. Intelligent Visual to Textual Mapping in Automatic Medical Diagnosis and Treatment.  9. Design and Analysis of OTA-OC CMOS Filter for Recording High Focal Oscillations-EEG Application.  10. A Flow-Induced Piezoelectric Vibration Energy Harvester (PVEH) with Magnetic Force Enhancement in Biomedical and mHealth.  11. Analysis of Integrated Intelligent Methods Toward Medical Decision-Making.  12. Image Description Based Medical Image Retrieval.  13. Deep Learning, Extreme Machine Learning, and Kernel-Based ELM for the Diagnosis of Alzheimer‘s Disease.

Biomaterials & Medical Devices

Smart drug delivery has the potential to revolutionize drug therapy by making treatments more effective, reducing side effects, and improving patient outcomes. This book presents a review of smart micro- and nanomaterials with a focus on their “smart” activity for formation of targeted and responsive drug-delivery carriers. 

1. Introduction to Smart Materials in Micro- and Nanoscale. 2. Current Approaches to Smart Drug Delivery. 3. Polymers for Smart Drug Delivery. 4. Metals for Smart Drug Delivery. 5. Composites for Smart Drug Delivery. 6. Micro- and Nanoscale Oral Drug Delivery Platforms. 7. Smart Nanocarriers. 8. Carbon Nanotubes (CNTs) and Their Smartness. 9. Quantum Dots (QDs) and Their Smartness. 10. Enzyme-Responsive Micro/Nano Drug Delivery. 11. Thermoresponsive Micro and Nano Drug Delivery. 12. Light-Triggered Micro/Nano Drug Delivery. 13. Electric Field Responsiveness of Nano Drug Delivery. 14. Magnetic Field-Responsive Micro/Nano Drug Delivery Systems. 15. pH-Responsive Micro/Nano Drug Delivery. 16. Smart Materials for Sustained and Controlled Drug Release. 17. MEMS-Based Drug Release. 18. Porous Nanocarriers for Targeted Drug Delivery and Theranostics. 19. Prospects and Future Scope of Smart Drug Delivery Systems: A Critical Perspective.

Biomaterials & Medical Devices

Smart drug delivery refers to a targeted drug delivery or precision drug delivery system that allows drugs to be administered to a specific location in the body or at a specific time with enhanced precision and control. This book presents various stimuli-responsive micro- and nanomaterials for pharmaceutical industries. 

1. Micro- and Nanoscale Oral Drugs Delivery System. 2. A Perspective on the Global Market of Micro- and Nano- Smart Materials in Pharmaceutical Industries. 3. Micro- and Nanoscaled Smart Material Manufacturing for Pharmaceutical Applications. 4. Production of Smart Particles Using Microfluidic Technology. 5. Release Mechanism of Smart Drug Delivery. 6. Micro- and Nanoscale Technologies in Oral Drug Delivery. 7. Swellable Polymers for Drug Delivery Applications. 8. Diagnostic Sensing Systems. 9. Stimuli-Responsive Hydrogels Micro-/Nano-Drug Delivery. 10. Magnetic Nanocarrier Mediated Site-Specific Delivery of Anticancer Agents as Promising Strategy for Targeted Treatment of Glioma: Insight into Present Status and Critical Challenges. 11. Material Release and Toxicity in Micro- and Nanoscale. 12. Smart Materials for Sustained and Controlled Drug Release. 13. Biodegradable Nanocarrier-Based Topical Drug Delivery for Effective Management of Vaginal Infections: Recent Progress and Challenges Ahead. 14. Smart Nano-Carriers and Their Advancements. 15. Self-Assembling Peptide-Based Nanostructures. 16. Nanoparticulate Enzymatic Mechanism in Anti-Tumor Drug Delivery. 17. Stimuli-Responsive Block Copolymers and Polymer Gel Nanocarriers for Drug and Gene Delivery Applications.

This book provides examination of applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles that various techniques, such as machine learning, fuzzy logic, and statistical mathematics, play in the advancements of smart healthcare systems. 

This book covers conventional clinical treatment methods for handling bone, cartilage, and related disorders along with their limitations and highlights the current state of art of tissue engineering as an alternative for regenerating defective tissue. Biomimetic scaffolding materials, and translational challenges are covered.

1. Basic biology of bone, cartilage and surrounding tissues. 2. Tissue engineering as an alternative approach for bone & cartilage regeneration. 3. Basic biomaterial for repairing bone, cartilage and associated joint tissue defects. 4. Advances in fabrication of scaffold. 5. Scaffold properties & characterization. 6. Stem cells for cartilage, bone and related tissue regeneration. 7. Bioreactor and tissue graft generation. 8. In vitro assessment of bone & cartilage tissue grafts. 9. In vivo assessment of regenerated bone, cartilage and joint tissue. 10. Translational approaches & regulatory aspects.

Biomaterials & Medical Devices

Surface Engineering-Materials Science

This reference work helps researchers working at the intersection of materials science and biotechnology to engineer functional biomaterials for a variety of applications.

Section 1: Introduction to Biomaterials Surface Engineering. 1. Introduction to Biomaterial Surface Engineering. 2. Criteria for Biomaterial Surface Selection. 3. Biomaterial Surfaces and Their Properties. 4. Smart Biomaterials and Their Applications. 5. Smart Materials for Bioimplant. 6. Classification of Biomaterials and Surface Strategies. 7. Corrosion, Degradation, and Material Release by Biomaterials. Section 2: Surface Synthesis and Engineering of Biomaterials. 8. Various Processing Routes for Biocompatible Materials: From Conventional Process to Additive Manufacturing. 9. Biofilm for Implant Materials. 10. Additive Manufactured Biomaterials Surfaces. 11. Various Additive Manufacturing Techniques for the Fabrication of Biomaterials. 12. Surface Modification: Carbide-, Silicide-, Nitride-Based Surface. 13. Nanoengineering in Biomaterials. 14. Smart Biomaterial Surface. 15. Energy Biomaterial Surface. Section 3: Post-Modification of Biomaterial Surface. 16. Surface Treatment of Polymeric, Ceramic, Metallic and Composite Biomaterials for Bioimplants and Medical Device Applications. 17. Surface Functionalization for Biomaterials. 18. Surface Modification Technologies and Methods of Biomaterials. 19. Mechanical Surface Treatments of Biomaterials. 20. Heat Treatment for Biomaterial Surface. 21. Surface Modification of Magnetic Nanoparticles for Biomaterials. 22. Phenomenology of Treatment of Biomaterial Surfaces. 23. LASER-based Surface Modification Techniques for Fatigue Life Improvement of Biomaterials. 24. Coating of High Entropy Alloys in Biomedical Application. 25. Surface Strategies and Classification of Biomaterials. 26: Functional Surfaces for Biomaterials

Surface Modifications of Titanium and Its Alloys for Biomedical Applications

Biomaterials & Medical Devices

This book focuses on a promising achievement of biomaterials engineering: surface modifications of titanium and its alloys, including change in surface topography, formation of subsurface layers and deposition of coating.

Chapter 0 Front MatterChapter 1 Titanium and its alloys for bone implants: properties, challenges, and current trends in surface treatment Chapter 2 Electropolishing and anodization of titanium and its alloys Chapter 3 Electrochemical oxide layers obtained on titanium alloy Ti-13Nb-13Zr in medical application Chapter 4 Micro-arc oxidation of titanium and its alloys Chapter 5 Micro-arc oxidation assisted with other techniques: treatment of titanium and its alloys Chapter 6 Laser-enhanced surface structurization of titanium and its alloys Chapter 7 Fabrication and characterization of hydroxyapatite-based coatings on titanium or its alloys Chapter 8 Thermal stability of titanium/hydroxyapatite systems Chapter 9 Fabrication and characterization of chitosan-based bioactive coatings on titanium or its alloys Chapter 10 Chitosan-based bioactive composite coatings on Ti alloys by electrophoretic deposition (EPD) Chapter 11 Composite polyetheretherketone-based coatings on titanium alloys: electrophoretic deposition, heat treatment, microstructure and properties Chapter 12 Plant-derived natural compounds as antimicrobial coating materials for titanium biomaterials Chapter 13 Natural polysaccharide-based coatings with solid antibacterial particles for titanium or its alloys Chapter 14 Carbon nanotube coating technology for titanium and its alloys Chapter 15 Surface treatments for implants obtained through additive manufacturing Chapter 16 Towards high cohesion and adhesion of coatings on titanium and its alloys Chapter 17 Surface modifications of titanium alloys: how to achieve bioactivity and antibacterial surface not enhancing cytotoxicity? Chapter 18 The phenomenon of biofilm formation on titanium surfaces, its clinical implications, and the search for new strategies in the development of functionalized surfaces with antibacterial properties End Matter I List of abbreviations and acronymsEnd

Romana Cavallo, Francesca | Toumazou, Christofer

Enabling Patient-Centred Approaches in the Management and Prevention of Lifestyle-Related Conditions

This book explores how personalised healthcare can be realised with the integration of new and established technologies, and how novel methods can be developed to improve health outcomes in lifestyle-related conditions. It covers topics from statistics and machine learning, to biosensors and point-of-care devices.

Chapter 1  The rise of personalised healthcare
Chapter 2  Understanding the relation between movement and health using statistics and machine learning
Chapter 3  Digital technologies for personalised behavioural change
Chapter 4  Biosensors and point-of-care devices
Chapter 5  Ethical and regulatory issues in personalised healthcare

This book focuses on a systematic introduction to the knowledge of mathematics and physics of EEG and discusses an in-depth application of EEG and the development of new methods and technologies for mining and analyzing EEG.

1 Overview of EEG
2 Electromagnetics behind Brain Electric Field
3 Biophysics and Source Models of EEG
4 Brain Electrical Field in Regular Head Model
5 Brain Electric Field in Realistic Head Model
6 Theory of Equivalent Distributed Sources
7 High-Resolution Cortical Imaging
8 Scalp Laplacian Imaging
9 A Unified Framework for High-Resolution EEG
10 Basic Theory of EEG Inverse Problem
11 Signal Space-Based EEG Inverse Solution
12 Iterative Minimum Norm Solution
13 Zero-Reference for Scalp EEG
14 EEG Reference Selection

Rapid Prototyping & Manufacturing

3D bioprinting offers the potential to revolutionize regenerative medicine, drug development, and personalized healthcare. The Science and Applications of 3D Printing explores the science of 3D bioprinting, covering the advancements in materials, techniques, and applications and serves as a comprehensive guide to this emerging field.

PrefaceList of Contributors1.    From Concept to Reality: A Brief History of Bioprinting2.    Bioinks and Materials for 3D Bioprinting3.    From Digital Models to Living Tissues: CAD Design in 3D Bioprinting4.    Current Bioprinting Techniques and Tools5.    Information Technology toward Bioprinting6.    3D Bioprinting in Regenerative Medicine Applications 7.    Engineering Scaled-Up Tissues via 3D Bioprinting8.    Bioprinting on Organ-on-Chip Technology9.    In Vivo Studies of Bioprinted Tissues and Organs10.  Future Directions and Emerging Trends in 3D Bioprinting
Index

This edited book includes original theoretical, practical, and review chapters aimed at proposing advancements in time-frequency signal processing methods for biomedical healthcare applications. This book is aimed at graduate students and researchers in bioengineering, and signal processing.

I. Introduction to Time-Frequency Analysis for Biomedical Engineering. Chapter 1: Wavelet-Based Biomedical Signal Analysis: A Tutorial Approach for Pathological Assessment. II. Time-Frequency Analysis of Specific Biomedical Signals. Chapter 2: Time-Frequency Analysis of ECG Signal. Chapter 3: Application of decomposition techniques to physiological time series with variable spectral content. III. Applications in Neurological Signal Processing. Chapter 4: Denoising of Single-Channel EEG Signals Using Wavelet Transform with Krawtchouk Functions. Chapter 5: Optimized Feature Selection and Neural Network-Based Classification of Motor Imagery Using EEG Signals: A Time-Frequency Approach. Chapter 6: Electroencephalogram Based Driver Drowsiness Detection Using Entropy Features with Light Weight Deep Learning Model. IV. Seizure Detection and Classification using Time-Frequency Features. Chapter 7: From Signals to Automated System: Seizure Detection Using Time-Frequency EEG Features – An Experimental Investigation. Chapter 8: Deep Learning based Epileptic Seizure Classification in Neonates using STFT-Transformed EEG Signals. Chapter 9: E-PRESTO: Epileptic PREictal State detection using Time-series mOdelling. Chapter 10: Sliding Window-Based Epileptic Seizure Detection using Classifier Fusion and TQWT with Statistical Features. V. Advanced Techniques and Machine Learning Applications. Chapter 11: Arrhythmia detection using WPD with Bagging and Boosting Ensemble Machine Learning Methods. Chapter 12: EEG based biometric authentication using Wavelet Packet Decomposition and Ensemble Classifiers

This book explores the convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) in transforming healthcare delivery. It provides a comprehensive overview of AIoT healthcare systems, covering concepts, architectures, applications, challenges, and future directions. 

Chapter 1 The Rise of Artificial Intelligence in Healthcare. Chapter 2 Smart Hospitals and IoT-based Healthcare Automation. Chapter 3 Machine Learning Approaches for Air Quality Index (AQI) Prediction: A Comparative Study. Chapter 4 FLAME: A Federated Learning Adaptive Multi-Modal Edge Framework for Real-Time Healthcare Decision Support Systems. Chapter 5 Edge Computing in Healthcare: Enhancing Efficiency and Patient Care. Chapter 6 Adversarial Intelligence in Healthcare: Enhancing Alzheimer’s Diagnosis through AI-Driven Innovations. Chapter 7 Sustainable Healthcare Transformation: The Role of AI and IoT in Environmental Efficiency. Chapter 8 An IoT-based Model for Air Quality Monitoring to Enable Telehealth for Asthma Patients: Facilitating a Way to Healthcare 5.0. Chapter 9 Advancements in Generative Adversarial Networks for Synthetic Data Generation: A Comprehensive Analysis. Chapter 10 Using Strategic Operational Research Models for AI-Augmented Healthcare Logistics, Accessibility, and Cost-Cutting Projects. Chapter 11 Cloud Computing: A Practical Framework for Smart City Development as Future Perspective. Chapter 12 Advances in Brain Tumor Segmentation Using Transformer Models.  Chapter 13 Enhancing EEG-based Brain Attack Detection Using a Hybrid Genetic Random Forest Classifier. Chapter 14 A Model Utilizing Stacking Classifiers for Identifying Heart Irregularities and Forecasting Cardiovascular Disease. Chapter 15 Role of Machine Learning and Deep Learning in Medical Decision-Making. Chapter 16 Applications of Medical Images and Diagnostics Chapter 17 AI and IoT Integration for Remote Patient Monitoring

Herath, H.M.K.K.M.B. | Jayasekara, A.G.B.P. | Madhusanka, B.G.D.A.

AI Approaches for Functional Mobility Assessments in Elderly Healthcare

This book provides a comprehensive overview of the use of vision attentive technology and artificial intelligence methodologies for functional mobility assessment in elderly populations.

Chapter 1- Introduction to Vision-Attentive Technology and Elderly Healthcare
Chapter 2- Functional Mobility in Elderly Populations: Assessments, Analysis and Technologies
Chapter 3- Vision Attentive Systems and Artificial Intelligence Methodologies for Functional Mobility Assessment in Elderly Populations
Chapter 4- The Role of Vision Attentive Approaches in Screening for Parkinson’s Disease in Elderly Populations
Chapter 5- The Role of Vision-Attentive Approaches in Screening of Sarcopenia in Elderly Populations
Chapter 6- Future Directions of AI Integrated Vision-Attentive Technologies for Elderly Healthcare

This book discusses the molecular mechanisms, signalling pathways, and emerging technologies in wound healing.

Chapter 1. An Overview of Wound Healing. Chapter 2. Signaling Pathways in Wound Healing. Chapter 3. Biomarkers for Wound Healing. Chapter 4. Skin Microbiome: A Guide to Its Interplay with Wound Healing. Chapter 5. Animal Models for Wound Healing. Chapter 6. Psychological Aspects of Wound Healing. Chapter 7. Herbal Remedies for Wound Healing. Chapter 8. Animal-Based Products in Wound Healing. Chapter 9. Therapeutic Approaches to Wound Healing. Chapter 10. Nutritional Support for Wound Healing. Chapter 11. Unveiling Artificial Intelligence for Prediction and Assessment of Wound Healing