Biotech and IoT: An Introduction Using Cloud-Driven Labs 🔍
Dr. Alok Kumar Srivastav
Apress L. P., 2024
英语 [en] · PDF · 11.9MB · 2024 · 📘 非小说类图书 · 🚀/lgli/lgrs/zlib · Save
描述
Table of Contents
About the Authors
About the Technical Reviewer
Acknowledgments
Chapter 1: Introduction to Biotechnology and IoT Integration
Defining IoT and Its Applications in Various Fields
Applications
Understanding the Principles of Biotechnology and Its Impact on Healthcare, Agriculture, and Beyond Traditional Applications
Healthcare
Agriculture
Beyond Traditional Applications
Exploring the Fundamentals of Biotechnology and IoT
Internet of Things
Understanding the Synergy Between Lab-Based Biotechnology Processes and Cloud-Connected Technologies
Summary
Chapter 2: Historical Development and Convergence
Tracing the Historical Development of Biotechnology and the IoT and Their Inevitable Convergence
Biotechnology
Internet of Things (IoT)
Convergence of Biotechnology and the IoT
The Intersection of the IoT and Biotechnology: How These Two Technologies Complement Each Other
Agricultural-Related Biological Processes and Research
Research in Pharmaceutical Biotechnology
Research and Development for Biotechnology
Control and Monitoring of the Environment
Research in Biomanufacturing
Summary
Chapter 3: Smart Laboratories and IoT Transformation
Examining How the IoT Transforms Traditional Laboratories into Intelligent, Connected Spaces
IoT Sensors and Devices
Data Collection and Monitoring
Automation and Control Systems
Enhanced Experimentation and Analysis
Safety and Compliance
Collaboration and Remote Access
Facilitating Collaboration through IoT Technologies
Remote Access Capabilities for Distributed Teams
Tools and Platforms for Remote Monitoring and Control
Showcasing Cutting-Edge Technologies Used to Enhance Efficiency, Data Accuracy, and Collaboration in the Laboratory
Laboratory Information Management Systems
High-Throughput Screening Systems
Lab-on-a-Chip Technologies
Artificial Intelligence and Machine Learning
Cloud-Based Collaboration Platforms
Summary
Chapter 4: Healthcare Revolution
Remote Patient Monitoring and Healthcare Management Through the IoT
Meaning and Definition
The IoT in Remote Patient Monitoring
Architecture of IoT-Based RPM Systems
Sensor Technologies in RPM
Data Transmission and Communication Protocols
Security and Privacy Concerns
Applications of the IoT in Healthcare
Chronic Disease Management
Elderly Care
Post-Operative Care
Wellness and Fitness Tracking
Medication Adherence Monitoring
Benefits of the IoT in Healthcare Management
Improved Patient Engagement and Satisfaction
Early Detection of Health Issues
Reduced Hospital Readmissions
Enhanced Personalized Healthcare
Streamlined Workflows and Resource Optimization
Biotechnological Advancements in Personalized Medicine and Diagnostics
Genomic Technologies
Proteomic Technologies
Metabolomic Technologies
Imaging Technologies
Integration of Multi-Omics Data
IoT-Enabled Biomedical Devices and Their Impact on Healthcare and Research
Their Impact on Healthcare and Research
Summary
Chapter 5: Connected Biomedical Devices and Digital Integration
Delving into the World of IoT-Enabled Biomedical Devices and Their Impact on Healthcare and Research
Technological Underpinnings
Applications Across Medical Domains
Challenges and Considerations
The Promising Future
Their Impact on Healthcare and Research
Highlighting Examples of Devices that Bridge the Gap Between Biotechnology and The Digital Realm
Summary
Chapter 6: Data Management, Security, and Ethical Considerations
Addressing The Challenges and Solutions Associated with Managing Vast Amounts of Biotechnology Data in the Cloud
Solutions
Exploring Strategies to Ensure the Security and Integrity of Sensitive Biological Information in Connected Environments
Discussing the Ethical Implications Surrounding the Integration of Biotechnology and the IoT
Exploring Responsible Practices and Guidelines to Navigate Potential Ethical Challenges
Example
Summary
Chapter 7: Precision Agriculture and Environmental Monitoring
Unveiling the Role of IoT in Revolutionizing Agricultural Practices Through Precision Biotechnology
Examining How Connected Devices Enhance Crop Monitoring, Genetic Engineering, and Sustainable Farming
Types of Connected Devices Used For Crop Monitoring
Genetic Engineering and Connected Devices
Examples of Connected Devices Used in Genetic Engineering (Gene Editing Tools and Automated DNA Sequencing)
How Connected Devices Facilitate Precision Breeding and Trait Selection
Data Collection and Analysis
Genomic Selection
High-Throughput Phenotyping
Automation and Robotics
Integration and Scalability
Sustainable Farming Practices Enhanced by Connected Devices
Ways in Which Connected Devices Promote Sustainable Farming Practices
Examples of Sustainable Farming Practices Supported By Connected Devices (Soil Moisture Monitoring, Irrigation Management, and Precision Application of Inputs)
Environmental Benefits of Integrating Connected Devices Into Sustainable Farming Systems
Using IoT Sensors For Real-Time Environmental Data Collection
Example
Biotechnological Interventions For Pollution Control and Environmental Restoration
Bioremediation
Biodegradation
Biofiltration
Biostimulation
Genetic Engineering
Conclusion
Summary
Chapter 8: Biometric Security Systems and Wearable Devices
Fundamentals of Biometric Authentication
Role of IoT in Biometric Authentication
Components of IoT-Enabled Biometric Authentication Systems
Security Considerations
Applications and Use Cases
Access Control Systems For Buildings, Vehicles, and Restricted Areas
Mobile Device Authentication For Secure Logins and Transactions
Biometric Payment Systems For Contactless Transactions
IoT-Enabled Biometric Authentication For Enhanced Security
Understanding Biometric Authentication
The Role of IoT in Biometric Authentication
IoT Sensors for Biometric Data Collection
IoT Devices for Biometric Recognition
Advantages of IoT-Enabled Biometric Authentication
Challenges and Considerations
Privacy Concerns
Reliability and Accuracy
Integration and Compatibility
Biotechnology in Forensics and DNA Profiling
Biotechnological Tools and Techniques
Polymerase Chain Reaction and Its Applications in DNA Amplification
Short Tandem Repeat Analysis For DNA Profiling
Next-Generation Sequencing Technologies in Forensic Genomics
Bioinformatics Approaches For Analyzing Complex DNA Data
Applications in Forensic Casework
Exploring the Synergy of Wearables, the IoT, and Biotechnology
Role of Biotechnology in Medicine
Biosensors and Biomolecular Detection
Diagnostic and Therapeutic Applications
Diagnostic Applications
Therapeutic Applications
Unlocking the Potential: Exploring the Synergy of IoT in Modern Society
Applications in Fitness Tracking, Health Monitoring, and Beyond
Summary
Chapter 9: Bioinformatics and Cloud Analytics
Investigating the Intersection of Bioinformatics and Cloud Analytics in the Era of Biotechnology IoT
Bioinformatics: Foundations and Advancements
Cloud Analytics: Infrastructure and Applications
Biotechnology IoT: Devices and Data Integration
Synergies and Applications
Synergies Between Biotechnology and the IoT
Applications of Biotechnology IoT
Showcasing How Advanced Data Analytics Contribute to Meaningful Insights and Discoveries in the Field of Life Sciences
The Power of Genomic Data Analytics
Precision Medicine: From Data to Insights
Drug Discovery and Development
Target Identification and Validation
Hit Identification and Lead Optimization
Preclinical and Clinical Development
Healthcare Analytics and Predictive Modeling
Clinical Decision Support and Personalized Medicine
Population Health Management and Preventive Care
Operational Analytics and Healthcare Efficiency
Summary
Chapter 10: Future Trends, Innovations, and Global Collaboration
Speculating on The Future Developments and Innovations at the Intersection of Biotechnology and IoT
Emerging Trends and Potential Breakthroughs that Could Shape the Landscape in the Coming Years
Practical Insights and Advice for Professionals, Researchers, and Enthusiasts Navigating the Evolving Landscape of the Biotechnology IoT
Examining The Role of International Collaboration in Advancing Biotechnology IoT Initiatives
Case Studies and Successful Models of Global Cooperation
Case Studies
Drug Discovery and Development
Case Study: John Deere’s Precision Agriculture Solutions
Biomedical IoT for Remote Patient Monitoring
Case Study: BioTelemetry’s Remote Cardiac Monitoring
Personalized Medicine and Genomics
Case Study: 23andMe’s Genetic Health Risk Reports
Smart Laboratories and Lab Automation
Case Study: LabTwin’s AI-Powered Digital Lab Assistant
Environmental Monitoring and Conservation
Case Study: Conservation Metrics’ AI-Based Wildlife Monitoring
The Human Genome Project: Pioneering Collaboration in Genomic Research
The Global Alliance for Genomics and Health
The Bill & Melinda Gates Foundation’s Grand Challenges in Global Health
The International Stem Cell Forum
The Global Antibiotic Research and Development Partnership
The Coalition for Epidemic Preparedness Innovations
Global Polio Eradication Initiative
The World Health Organization’s Global Malaria Programme
The International AIDS Vaccine Initiative
The Global Fund to Fight AIDS, Tuberculosis and Malaria
The International Telecommunication Union
The United Nations Framework Convention on Climate Change
The Intergovernmental Panel on Climate Change
The International Union for Conservation of Nature
The Global Ocean Observing System
The Global Initiative for Food Security and Ecosystem Preservation
The International Renewable Energy Agency
The Global Alliance for Improved Nutrition
The International Campaign to Ban Landmines
The Global Partnership for Education
The Challenges and Benefits of Collaborative Efforts in Shaping The Future of Biotechnology IoT on a Global Scale
Benefits of Collaborative Efforts
Challenges of Collaborative Efforts
Concluding Thoughts on the Transformative Journey “From Lab to Cloud”
Foundations of Biotechnology and the IoT
The Collaborative Imperative
Challenges and Solutions
Challenges Hindering Progress
Solutions Through Collaborative Action
Summary
References
Glossary
Index
About the Authors
About the Technical Reviewer
Acknowledgments
Chapter 1: Introduction to Biotechnology and IoT Integration
Defining IoT and Its Applications in Various Fields
Applications
Understanding the Principles of Biotechnology and Its Impact on Healthcare, Agriculture, and Beyond Traditional Applications
Healthcare
Agriculture
Beyond Traditional Applications
Exploring the Fundamentals of Biotechnology and IoT
Internet of Things
Understanding the Synergy Between Lab-Based Biotechnology Processes and Cloud-Connected Technologies
Summary
Chapter 2: Historical Development and Convergence
Tracing the Historical Development of Biotechnology and the IoT and Their Inevitable Convergence
Biotechnology
Internet of Things (IoT)
Convergence of Biotechnology and the IoT
The Intersection of the IoT and Biotechnology: How These Two Technologies Complement Each Other
Agricultural-Related Biological Processes and Research
Research in Pharmaceutical Biotechnology
Research and Development for Biotechnology
Control and Monitoring of the Environment
Research in Biomanufacturing
Summary
Chapter 3: Smart Laboratories and IoT Transformation
Examining How the IoT Transforms Traditional Laboratories into Intelligent, Connected Spaces
IoT Sensors and Devices
Data Collection and Monitoring
Automation and Control Systems
Enhanced Experimentation and Analysis
Safety and Compliance
Collaboration and Remote Access
Facilitating Collaboration through IoT Technologies
Remote Access Capabilities for Distributed Teams
Tools and Platforms for Remote Monitoring and Control
Showcasing Cutting-Edge Technologies Used to Enhance Efficiency, Data Accuracy, and Collaboration in the Laboratory
Laboratory Information Management Systems
High-Throughput Screening Systems
Lab-on-a-Chip Technologies
Artificial Intelligence and Machine Learning
Cloud-Based Collaboration Platforms
Summary
Chapter 4: Healthcare Revolution
Remote Patient Monitoring and Healthcare Management Through the IoT
Meaning and Definition
The IoT in Remote Patient Monitoring
Architecture of IoT-Based RPM Systems
Sensor Technologies in RPM
Data Transmission and Communication Protocols
Security and Privacy Concerns
Applications of the IoT in Healthcare
Chronic Disease Management
Elderly Care
Post-Operative Care
Wellness and Fitness Tracking
Medication Adherence Monitoring
Benefits of the IoT in Healthcare Management
Improved Patient Engagement and Satisfaction
Early Detection of Health Issues
Reduced Hospital Readmissions
Enhanced Personalized Healthcare
Streamlined Workflows and Resource Optimization
Biotechnological Advancements in Personalized Medicine and Diagnostics
Genomic Technologies
Proteomic Technologies
Metabolomic Technologies
Imaging Technologies
Integration of Multi-Omics Data
IoT-Enabled Biomedical Devices and Their Impact on Healthcare and Research
Their Impact on Healthcare and Research
Summary
Chapter 5: Connected Biomedical Devices and Digital Integration
Delving into the World of IoT-Enabled Biomedical Devices and Their Impact on Healthcare and Research
Technological Underpinnings
Applications Across Medical Domains
Challenges and Considerations
The Promising Future
Their Impact on Healthcare and Research
Highlighting Examples of Devices that Bridge the Gap Between Biotechnology and The Digital Realm
Summary
Chapter 6: Data Management, Security, and Ethical Considerations
Addressing The Challenges and Solutions Associated with Managing Vast Amounts of Biotechnology Data in the Cloud
Solutions
Exploring Strategies to Ensure the Security and Integrity of Sensitive Biological Information in Connected Environments
Discussing the Ethical Implications Surrounding the Integration of Biotechnology and the IoT
Exploring Responsible Practices and Guidelines to Navigate Potential Ethical Challenges
Example
Summary
Chapter 7: Precision Agriculture and Environmental Monitoring
Unveiling the Role of IoT in Revolutionizing Agricultural Practices Through Precision Biotechnology
Examining How Connected Devices Enhance Crop Monitoring, Genetic Engineering, and Sustainable Farming
Types of Connected Devices Used For Crop Monitoring
Genetic Engineering and Connected Devices
Examples of Connected Devices Used in Genetic Engineering (Gene Editing Tools and Automated DNA Sequencing)
How Connected Devices Facilitate Precision Breeding and Trait Selection
Data Collection and Analysis
Genomic Selection
High-Throughput Phenotyping
Automation and Robotics
Integration and Scalability
Sustainable Farming Practices Enhanced by Connected Devices
Ways in Which Connected Devices Promote Sustainable Farming Practices
Examples of Sustainable Farming Practices Supported By Connected Devices (Soil Moisture Monitoring, Irrigation Management, and Precision Application of Inputs)
Environmental Benefits of Integrating Connected Devices Into Sustainable Farming Systems
Using IoT Sensors For Real-Time Environmental Data Collection
Example
Biotechnological Interventions For Pollution Control and Environmental Restoration
Bioremediation
Biodegradation
Biofiltration
Biostimulation
Genetic Engineering
Conclusion
Summary
Chapter 8: Biometric Security Systems and Wearable Devices
Fundamentals of Biometric Authentication
Role of IoT in Biometric Authentication
Components of IoT-Enabled Biometric Authentication Systems
Security Considerations
Applications and Use Cases
Access Control Systems For Buildings, Vehicles, and Restricted Areas
Mobile Device Authentication For Secure Logins and Transactions
Biometric Payment Systems For Contactless Transactions
IoT-Enabled Biometric Authentication For Enhanced Security
Understanding Biometric Authentication
The Role of IoT in Biometric Authentication
IoT Sensors for Biometric Data Collection
IoT Devices for Biometric Recognition
Advantages of IoT-Enabled Biometric Authentication
Challenges and Considerations
Privacy Concerns
Reliability and Accuracy
Integration and Compatibility
Biotechnology in Forensics and DNA Profiling
Biotechnological Tools and Techniques
Polymerase Chain Reaction and Its Applications in DNA Amplification
Short Tandem Repeat Analysis For DNA Profiling
Next-Generation Sequencing Technologies in Forensic Genomics
Bioinformatics Approaches For Analyzing Complex DNA Data
Applications in Forensic Casework
Exploring the Synergy of Wearables, the IoT, and Biotechnology
Role of Biotechnology in Medicine
Biosensors and Biomolecular Detection
Diagnostic and Therapeutic Applications
Diagnostic Applications
Therapeutic Applications
Unlocking the Potential: Exploring the Synergy of IoT in Modern Society
Applications in Fitness Tracking, Health Monitoring, and Beyond
Summary
Chapter 9: Bioinformatics and Cloud Analytics
Investigating the Intersection of Bioinformatics and Cloud Analytics in the Era of Biotechnology IoT
Bioinformatics: Foundations and Advancements
Cloud Analytics: Infrastructure and Applications
Biotechnology IoT: Devices and Data Integration
Synergies and Applications
Synergies Between Biotechnology and the IoT
Applications of Biotechnology IoT
Showcasing How Advanced Data Analytics Contribute to Meaningful Insights and Discoveries in the Field of Life Sciences
The Power of Genomic Data Analytics
Precision Medicine: From Data to Insights
Drug Discovery and Development
Target Identification and Validation
Hit Identification and Lead Optimization
Preclinical and Clinical Development
Healthcare Analytics and Predictive Modeling
Clinical Decision Support and Personalized Medicine
Population Health Management and Preventive Care
Operational Analytics and Healthcare Efficiency
Summary
Chapter 10: Future Trends, Innovations, and Global Collaboration
Speculating on The Future Developments and Innovations at the Intersection of Biotechnology and IoT
Emerging Trends and Potential Breakthroughs that Could Shape the Landscape in the Coming Years
Practical Insights and Advice for Professionals, Researchers, and Enthusiasts Navigating the Evolving Landscape of the Biotechnology IoT
Examining The Role of International Collaboration in Advancing Biotechnology IoT Initiatives
Case Studies and Successful Models of Global Cooperation
Case Studies
Drug Discovery and Development
Case Study: John Deere’s Precision Agriculture Solutions
Biomedical IoT for Remote Patient Monitoring
Case Study: BioTelemetry’s Remote Cardiac Monitoring
Personalized Medicine and Genomics
Case Study: 23andMe’s Genetic Health Risk Reports
Smart Laboratories and Lab Automation
Case Study: LabTwin’s AI-Powered Digital Lab Assistant
Environmental Monitoring and Conservation
Case Study: Conservation Metrics’ AI-Based Wildlife Monitoring
The Human Genome Project: Pioneering Collaboration in Genomic Research
The Global Alliance for Genomics and Health
The Bill & Melinda Gates Foundation’s Grand Challenges in Global Health
The International Stem Cell Forum
The Global Antibiotic Research and Development Partnership
The Coalition for Epidemic Preparedness Innovations
Global Polio Eradication Initiative
The World Health Organization’s Global Malaria Programme
The International AIDS Vaccine Initiative
The Global Fund to Fight AIDS, Tuberculosis and Malaria
The International Telecommunication Union
The United Nations Framework Convention on Climate Change
The Intergovernmental Panel on Climate Change
The International Union for Conservation of Nature
The Global Ocean Observing System
The Global Initiative for Food Security and Ecosystem Preservation
The International Renewable Energy Agency
The Global Alliance for Improved Nutrition
The International Campaign to Ban Landmines
The Global Partnership for Education
The Challenges and Benefits of Collaborative Efforts in Shaping The Future of Biotechnology IoT on a Global Scale
Benefits of Collaborative Efforts
Challenges of Collaborative Efforts
Concluding Thoughts on the Transformative Journey “From Lab to Cloud”
Foundations of Biotechnology and the IoT
The Collaborative Imperative
Challenges and Solutions
Challenges Hindering Progress
Solutions Through Collaborative Action
Summary
References
Glossary
Index
备用文件名
lgrsnf/Biotech and IoT.pdf
备用文件名
zlib/no-category/Unknown/Biotech and IoT_30330260.pdf
备选作者
Alok Kumar Srivastav, Priyanka Das, Ashish Kumar Srivastava
备选作者
Unknown
开源日期
2024-09-25
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