Revolutionizing Microbial Technology: Unlocking the Potential of Artificial Intelligence explores the potential integration of artificial intelligence (AI) and machine learning in the fields of microbiology and biotechnology. The book delves into various applications of AI in microbiology across different sectors. This includes coverage of basic microbiology, identification and characterization of microbes, how AI can be implemented in microbiology laboratory practices, and how bioinformatics can help analyze microbial data and help understand complex biological systems. It discusses implementation of AI in healthcare for the diagnosis of microbial diseases and AI-driven microbial therapies and examines potential AI solutions for the acceleration, cost-effectiveness, and efficiency of the drug discovery and drug development process. Additional coverage includes the AI integration in the food and agricultural industries. Revolutionizing Microbial Technology provides a comprehensive understanding to researchers, academics, industry professionals and students of the potential of AI as an advance tool for microbial research and application.
1. 1 Introduction - p. 49 2. 2 Discovery of novel metabolites - p. 54 3. 3 AI in synthetic biology and microbial strain improvements - p. 65 4. 4 Bioprocess optimization through AI - p. 74 5. 5 Automation and high-throughput microbial screening - p. 86 6. 6 Challenges and limitations - p. 91 7. 7 Future perspectives - p. 91 8. 8 Conclusion - p. 92 9. Chapter 3. AI-driven insights into phage–host dynamics: Antimicrobial stewardship in reaching the right target - p. 109 10. Chapter 4. Enhancing food quality, processing, and preservation through AI and microbiological interventions - p. 139 11. Chapter 5. AI-driven molecular strategies for scalable microbial Metabolite Production - p. 155 12. Chapter 6. The role of Artificial Intelligence in bacteriophage therapy - p. 175 13. Chapter 7. AI's diagnostic revolution: A one health approach to zoonotic infections: Speed, accuracy, and precision in infectious disease detection - p. 189 14. Chapter 8. Intelligent solutions against antimicrobial resistance - p. 225 15. Chapter 9. Integrating AI-with CRISPR-based microbial gene editing: Scientific implications - p. 239 16. Chapter 10. Efficient and cost-effective production of viral vaccines via AI - p. 255 17. Chapter 11. Environmental microbiology in the age of nanotechnology and AI: Advancing microbial technologies for a sustainable future - p. 275 18. Chapter 12. AI implementation in bioreactor design and optimization of the fermentation conditions for microbial metabolite production - p. 301 19. Chapter 13. Integrating artificial intelligence and CRISPR-Cas9: A new era for microbial systems - p. 341 20. Index - p. 357
Revolutionizing Microbial Technology: Unlocking the Potential of Artificial Intelligence explores the potential integration of artificial intelligence (AI) and machine learning in the fields of microbiology and biotechnology. The book delves into various applications of AI in microbiology across different sectors. This includes coverage of basic microbiology, identification and characterization of microbes, how AI can be implemented in microbiology laboratory practices, and how bioinformatics can help analyze microbial data and help understand complex biological systems. It discusses implementation of AI in healthcare for the diagnosis of microbial diseases and AI-driven microbial therapies and examines potential AI solutions for the acceleration, cost-effectiveness, and efficiency of the drug discovery and drug development process. Additional coverage includes the AI integration in the food and agricultural industries. Revolutionizing Microbial Technology provides a comprehensive understanding to researchers, academics, industry professionals and students of the potential of AI as an advance tool for microbial research and application.
1. 1 Introduction - p. 49 2. 2 Discovery of novel metabolites - p. 54 3. 3 AI in synthetic biology and microbial strain improvements - p. 65 4. 4 Bioprocess optimization through AI - p. 74 5. 5 Automation and high-throughput microbial screening - p. 86 6. 6 Challenges and limitations - p. 91 7. 7 Future perspectives - p. 91 8. 8 Conclusion - p. 92 9. Chapter 3. AI-driven insights into phage–host dynamics: Antimicrobial stewardship in reaching the right target - p. 109 10. Chapter 4. Enhancing food quality, processing, and preservation through AI and microbiological interventions - p. 139 11. Chapter 5. AI-driven molecular strategies for scalable microbial Metabolite Production - p. 155 12. Chapter 6. The role of Artificial Intelligence in bacteriophage therapy - p. 175 13. Chapter 7. AI's diagnostic revolution: A one health approach to zoonotic infections: Speed, accuracy, and precision in infectious disease detection - p. 189 14. Chapter 8. Intelligent solutions against antimicrobial resistance - p. 225 15. Chapter 9. Integrating AI-with CRISPR-based microbial gene editing: Scientific implications - p. 239 16. Chapter 10. Efficient and cost-effective production of viral vaccines via AI - p. 255 17. Chapter 11. Environmental microbiology in the age of nanotechnology and AI: Advancing microbial technologies for a sustainable future - p. 275 18. Chapter 12. AI implementation in bioreactor design and optimization of the fermentation conditions for microbial metabolite production - p. 301 19. Chapter 13. Integrating artificial intelligence and CRISPR-Cas9: A new era for microbial systems - p. 341 20. Index - p. 357
