بیوتکنولوژی و اینترنت اشیاء: مقدمه‌ای بر آزمایشگاه‌های مبتنی بر ابر

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