Innovations in Biomedical Engineering

Trends in Scientific Advances and Applications

1st Edition - March 3, 2025
Imprint: Academic Press
Editors: Shubham Mahajan, Amit Kant Pandit
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 3 0 1 4 6 - 9
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 3 0 1 4 7 - 6

Innovations in Biomedical Engineering: Trends in Scientific Advances and Application addresses the burgeoning demand for a comprehensive resource that not only showcases the latest… Read more

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Innovations in Biomedical Engineering: Trends in Scientific Advances and Application addresses the burgeoning demand for a comprehensive resource that not only showcases the latest advancements in this dynamic field but also shows how these innovations can be effectively translated into real-world applications. In essence, the book acts as a bridge, connecting discoveries, research, and innovations in biomedical engineering to tangible, real-world applications.

Innovations in Biomedical Engineering
Cover image
Title page
Table of Contents
Copyright
Contributors
Preface
Chapter 1 Advancing drug delivery systems through biomedical engineering: Innovations and future directions
Abstract
Keywords
1 Introduction
2 Bridging the gap with biomedical engineering
3 Traditional vs engineered drug delivery system
4 Approaches in drug delivery systems and therapeutics
4.1 Biomolecule-based scaffolds in drug delivery
4.2 Conductive polymers and stimuli-responsive materials
4.3 Micro- and nano-devices in therapeutics
4.4 Engineered micro/nanoscale carriers
4.5 Gene therapies and biopharmaceutical delivery
4.6 Engineered implants and in situ Systems
4.7 Advanced technologies for drug monitoring and visualization
5 Case studies of biomedical engineering in drug delivery
6 Potential and shortcomings
7 Conclusion
References
Chapter 2 Advancing healthcare: Reinforcement learning applications for personalized healthcare
Abstract
Keywords
1 Introduction
2 Foundations of reinforcement learning
3 Personalized healthcare: A paradigm shift in healthcare
3.1 Data
3.2 Requirements
3.3 Challenges
4 Formulation of RL-based personalized healthcare systems
5 Applications of reinforcement learning in personalized medicine
5.1 Precision medicine
5.2 Dynamic treatment regimes
5.3 Personalized rehabilitation
5.4 Medical imaging
5.5 Diagnostic systems
5.6 Drug discovery
6 Conclusion and future directions
References
Chapter 3 Advancements of IoT and sensor informatics in wearable, implantable, mobile, and remote healthcare
Abstract
Keywords
1 Introduction
2 Wearable health monitoring systems
2.1 Cardiovascular monitoring system
2.2 Activity monitoring system
2.3 Body temperature monitoring system
2.4 Galvanic skin response monitoring system
2.5 Blood oxygen saturation (SpO2) monitoring systems
2.6 Multisensor monitoring system
3 Communication technologies for wearable systems
3.1 Regulatory challenges and compliance requirements of each device
3.2 Challenges faced by implantable devices
4 Conclusions and research challenges
References
Chapter 4 Wearable technology in healthcare
Abstract
Keywords
1 Introduction
2 Wearable technology: Then and now
3 Types of wearable technologies
3.1 Wearable health technologies
3.2 Wearable textile technologies
3.3 Wearable consumer electronics
4 Impact of technologies in healthcare
5 Why wearable technologies in healthcare
6 Wearable gadgets in healthcare
7 Wearable devices in different sectors
7.1 Medical and healthcare
7.2 Sports and fitness
7.3 Enterprise and industrial
7.4 Military and defense
7.5 Education
7.6 Entertainment
7.7 Fashion
8 Industry innovative trends in the wearable technologies market
8.1 Wearability in healthcare
8.2 Wearability in industry
8.3 Wearability in robotics
9 Security issues in wearable devices
10 Existing measures for protecting sensitive health information
10.1 What more needs to be done?
11 Dark side of wearable technologies
12 Future of smart wearable technology
12.1 Technological advancements
12.2 Integration of AI and machine learning
12.3 Assessing long-term health outcomes
12.4 Systemic impacts on healthcare systems
13 Conclusion
References
Chapter 5 Biomedical sensors in wearable health technologies
Abstract
Keywords
1 Introduction
2 Early abnormality identification and predictive analysis of illness management
3 Real-time data analysis and signal processing algorithms
4 Application of AI and machine learning algorithms for enhanced treatment results
5 Flexible and biodegradable material
6 Different wearable health technologies
6.1 Blood glucose meter
6.2 Blood pressure monitor
6.3 Activity and sleep monitor
6.4 Pulse oximeter
6.5 Electrocardiogram
7 Multifunctional smart wearables
8 Comparative analysis of wearable health technologies with traditional healthcare monitoring methods
9 Emerging trends and future directions
10 Challenges
10.1 Data privacy and security
10.2 Cost and accessibility
10.3 Accuracy and reliability
10.4 User engagement and adherence
10.5 Regulatory compliance
11 Regulatory and ethical considerations
11.1 Regulatory considerations
11.2 Ethical considerations
12 Long-term efficacy and adoption of wearable health devices
13 Summary
References
Chapter 6 Biomedical trends: Application on plant-based polysaccharides
Abstract
Keywords
1 Introduction
1.1 Introduction to plant mucilage
1.2 Plant gums and mucilage
1.3 Types of gums
1.4 Origin of mucilage
1.5 Extraction of mucilage from plants
1.6 Mucilage separating from the nutlets
1.7 Recovery
1.8 Mucilage dehydration
1.9 Gums and mucilages: Characterization
1.10 Digestive tract behavior and colonies of mucilages
1.11 Sources of mucilage
1.12 Functional properties of mucilages
2 Application of mucilages
2.1 Application in meat production
2.2 Application in the drug industry
2.3 Application in nanomedicine
2.4 Application in tissue engineering
2.5 Application in plant-based mucilage
2.6 Application in food application
2.7 Application in the biomedical field
3 Conclusion
3.1 Future perspectives
References
Chapter 7 Comparative study on evolution of imaging techniques in forensic anthropology
Abstract
Keywords
1 Introduction
1.1 The basics first
1.2 Significance of human identification in forensic anthropology
2 Conventional imaging methods
2.1 X-ray
2.2 Photography
2.3 Photogrammetry-recording tool
3 Advanced imaging technologies
3.1 Computer topography scanning
3.2 Magnetic resonance imaging
3.3 Three-dimensional imaging
3.4 Dual-energy X-ray absorptiometry
3.5 Laser scanning
3.6 Ground penetrating radar
4 Using imaging in anthropological forensics
4.1 Age estimation
4.2 Forensic facial anthropology
4.3 Sex determination
4.4 Victim identification in disasters
4.5 Study of bite marks
4.6 Identification of weapons
4.7 Cheiloscopy
5 Comparative analysis: Traditional vs advanced methods
5.1 Traditional techniques
5.2 Advanced techniques
6 Conclusion
References
Chapter 8 Deep reinforcement learning in healthcare and biomedical application
Abstract
Keywords
1 Introduction
2 Theory bases and primary techniques in RL
2.1 Theoretical bases for RL
2.2 Important methods in RL
3 The use of RL in medical services
4 Active methods of dealing
4.1 Chronic illnesses
4.2 Critical care
5 Automation in the duties
6 Additional medical specialists
7 Difficulties and open matters
8 Forthcoming objectives
9 Conclusion
References
Chapter 9 A cognitive technique for human monkeypox disease diagnosis and prevention in healthcare system
Abstract
Keywords
1 Introduction
1.1 Major contributions
2 Related works
3 Machine learning and deep learning models
4 Proposed methodology
4.1 Analysis of machine learning (ML) models
4.2 Time-series-based analysis
5 Datasets
6 Experimental simulation results
6.1 Experimental setup
6.2 Evaluation parameters
6.3 Training and testing data
7 Evaluation analysis
7.1 Time-series-based results
8 Comparative analysis of the proposed method with existing methods
9 Conclusion
References
Chapter 10 Neuroengineering and brain-machine interfaces
Abstract
Keywords
1 Introduction
1.1 The emergence of neuroengineering—Where disciplines meet
1.2 The technological harmony of the 20th century
1.3 Exploring the world of neuroengineering in the modern era—Embracing a new wave of technological advancements
1.4 Applications of neuroengineering
2 Acquisition and processing of brain signals
2.1 Acquisition brain signals
2.2 Processing brain signals
2.3 Integration of brain-computer interfaces (BCIs)
2.4 Exploring difficulties and paths ahead
2.5 Unveiling the depths of signal-processing techniques in brain-machine interfaces
2.6 Challenges in processing information in real time
3 Invasive vs noninvasive methods of signal acquisition in the brain
3.1 These are a few of the frequently used invasive techniques
3.2 Below are some of the most frequently used noninvasive techniques
3.3 Innovation in signal acquisition techniques
4 Construction and execution of BMI in medical sciences
4.1 Neural decoding algorithms: Unveiling the brain’s hidden code
4.2 Beyond the basics: Advanced decoding strategies
4.3 Brain-computer interface calibration
4.4 Signal-transmission protocols: The unseen bridge
5 Revolutionizing human-computer interaction
5.1 Advancements and challenges in neural interfaces: Integrating AI and machine learning techniques
6 Ethical and societal implications
7 Conclusion
References
Chapter 11 Pioneering Raman spectroscopy for precise breast cancer diagnosis
Abstract
Keywords
1 Introduction
1.1 Overview of breast cancer
1.2 Comparison of different modalities
1.3 Current developments in the field of breast cancer theragnostics
1.4 Challenges in the diagnosis of breast cancer
1.5 Importance of precise diagnosis
2 Raman spectroscopy
2.1 Fundamentals of Raman spectroscopy
2.2 Different techniques of Raman spectroscopy
2.3 Diagnostic use of Raman spectroscopy
3 Key parameters influencing Raman signal acquisition
3.1 Raman spectroscopy in breast cancer diagnosis
3.2 Linear and nonlinear optics in cancer research
3.3 Advantages of Raman spectroscopy over traditional diagnostic methods
4 Limitations in Raman spectroscopy
4.1 Cancer diagnostics using SORS
4.2 Current state of its application
4.3 Raman spectroscopy techniques for analyzing deep tissue
4.4 Spatially offset Raman spectroscopy
4.5 Surface-enhanced spatially offset Raman spectroscopy
4.6 Application
5 Single modality vs multimodality approaches
5.1 Combining Raman spectroscopy with fluorescence-based techniques
6 Conclusions
References
Chapter 12 Recent advances in fish genetics and biotechnology
Abstract
Keywords
1 Introduction
1.1 Introduction of fish genetic modification
1.2 Hydroponics
1.3 Methods in determining the sex of fish
1.4 Fish breeding techniques
1.5 Techniques used in fish biotechnology
2 Basic genetics of aquatic organisms
2.1 Structure and organization of fish genome
2.2 Genetic variation in wild and cultured fish
3 Technologies emerging in fish biotechnology
3.1 CRISPER-cas9 and genome editing in fish
4 Conservation and biodiversity of genetics
4.1 Preservation of endangered fish species
4.2 Genetic resource management
5 Probiotics of fish
5.1 Fish immunity
5.2 Disease protection
6 Functional genomics in fishes
6.1 Transcriptomics and gene expression
6.2 Proteomics and metabolism in fish
7 Conclusion
References
Chapter 13 Role of quantum computing in accelerating drug discovery process
Abstract
Keywords
1 Introduction
1.1 Background of drug discovery
1.2 Emergence of quantum computing in pharmaceutical research
2 Quantum computing basics
2.1 Overview of quantum mechanics
3 Quantum algorithms in drug discovery
3.1 Introduction to quantum algorithms
3.2 Variational quantum eigen solver (VQE)
3.3 Other relevant quantum algorithms
4 Application of quantum computing in drug development
4.1 Accelerating drug discovery
4.2 Virtual screening and molecular simulations
4.3 Case studies and examples
5 Hybrid quantum-classical approaches
5.1 Concept and importance
5.2 Integration of quantum and classical computing “classification of hybrid quantum-classical computing”
5.3 Advancements and applications
6 Collaborative efforts in quantum computing and drug research
6.1 Cross-disciplinary collaboration
6.2 Role of academia and industry
6.3 Notable partnerships and projects
7 Challenges and limitations
7.1 Technological constraints
7.2 Ethical and regulatory considerations
8 Future perspectives
8.1 Evolving landscape of quantum computing in pharma
8.2 Breakthrough and disruptive innovation: A theoretical reflection
8.3 Long-term impact on drug discovery
9 Conclusion
9.1 Summary of findings
9.2 Implications for pharmaceutical research
9.3 Final remarks
References
Chapter 14 Quantum-enhanced deep learning for early detection of diabetic retinopathy
Abstract
Keywords
1 Introduction
2 Literature survey
3 Experimental setup
4 Dataset
5 Methodology
5.1 Quantum preprocessing
5.2 Deep learning models
5.3 Ensemble techniques
5.4 Decision tree base classifier
5.5 Random Forest base classifier
6 Results and discussion
7 Conclusion
8 Future scope
References
Chapter 15 Technological advancement in clinical orthopedics using additive manufacturing
Abstract
Keywords
1 Introduction to biomechanic
1.1 History of biomechanics
1.2 Application of biomechanics
1.3 Use of various tools and techniques
2 Biomechanics in orthopedics
2.1 Basic mechanics
3 The role of biomechanics in medicine
3.1 History of the relationship between engineering and medical science
3.2 Assessment and evaluation using biomechanics for orthopedic conditions
4 Advancement of biomedical engineering in orthopedics
4.1 Biomechanical modeling and simulation
4.2 Biomaterial implants and their compatibility
4.3 3D printing technology in customized implants
4.4 Biomechanics in sports
4.5 Biomechanics in optimization of sports performance
4.6 Minimally invasive technique
4.7 Patient-specific treatment plans
5 Emerging technologies and future directions in biomechanics and orthopedics
6 Global prospective for advancement in orthopedic
7 Conclusion
References
Chapter 16 Future trends and emerging technologies in biomedical engineering
Abstract
Keywords
1 Introduction
1.1 Background of biomedical engineering advancements
1.2 Significance of future trends in healthcare
1.3 Objectives of the chapter
2 Artificial intelligence in biomedical engineering
2.1 AI applications in diagnostics and imaging
2.2 Machine learning for treatment personalization
2.3 Challenges and opportunities in AI integration
3 Robotics in healthcare
3.1 Surgical robots and minimally invasive procedures
3.2 Rehabilitation and assistive robotics
3.3 Ethical implications of robotic healthcare interventions
4 Bioinformatics and precision medicine
4.1 Genomic data analysis for personalized treatment
4.2 Integration of bioinformatics in disease research
4.3 Privacy concerns and security measures
5 Regenerative medicine and tissue engineering
5.1 Stem cell therapies and tissue regeneration
5.2 Biofabrication and 3D printing in medicine
5.3 Regulatory challenges in advanced therapies
6 Telemedicine and virtual healthcare
6.1 Telehealth platforms and consultations
6.2 Telemedicine in rural and underserved areas
6.3 Legal and ethical considerations in telehealth
7 Internet of things (IoT) in biomedical engineering
7.1 IoT applications in medical devices
7.2 Interconnected healthcare systems
7.3 Standardization and interoperability challenges
8 Convergence of technologies and ethical considerations
8.1 Integration of multiple technologies in healthcare
8.2 Ethical considerations in biomedical engineering
8.3 Regulatory frameworks for responsible implementation
9 Real world examples and case studies
9.1 Diagnostics
9.2 Treatment
9.3 Personalized Healthcare
9.4 Diagnostics
9.5 Treatment
9.6 Personalized healthcare
10 Future directions in biomedical engineering
11 Conclusion
References
Index

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health

Innovations in Biomedical Engineering

Trends in Scientific Advances and Applications

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Shubham Mahajan

Amit Kant Pandit

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