Artificial Intelligence in Microbiology: Scope and Challenges, Volume-II, Volume 56 covers changes due to the emergence of Artificial Intelligence (AI). AI is being used to analyze massive data in a predictable form, about the behavior of microorganisms, to solve microbial classification-related problems, and more. Chapters include Taking on the resistance: AI and battle against antimicrobial resistance, AI-powered insights into microbial communities for bioremediation strategies, Efficient and cost-effective production of viral vaccines via AI, Production and development of novel drug targets through AI, Use of AI in neuroscience, Role of Artificial Intelligence in studying metagenomics of Microbes: Decoding the microbial Sphere, and more.
Other chapters explore Exploring the functional role of bacterial proteins via AI, Application of AI in Aquaculture/Fisheries: Disease identification, detection, diagnosis, drug development, Artificial Intelligence in drug discovery & development; scope and challenges, Production of bacteriocins by AI: as food preservative, Exploring the Role of Artificial Intelligence in the Microbial remediation of heavy metals, Uses of Artificial Intelligence in the Agricultural Pest Management, Microbial fermentation processes using Artificial Intelligence, and more.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. ii 4. Series Page - p. ii 5. Copyright - p. iii 6. Contributors - p. iii 7. Preface - p. xv 8. Chapter One: Taking on the resistance: Artificial intelligence (AI) and battle against antimicrobial resistance - p. 1 9. Chapter Two: Production of bacteriocins by AI: As food preservative - p. 34 10. Chapter Three: Artificial intelligence (AI) implementation in the food industry as a promising tool for protecting food from microbes - p. 61 11. Chapter Four: Artificial intelligence and microbial cellular intelligence for bioprocess and biofuel - p. 114 12. Chapter Five: The power of AI in viral vaccine production: A paradigm shift in efficiency and costs - p. 128 13. Chapter Six: Role of artificial intelligence in studying metagenomics of microbes: Decoding the microbial sphere - p. 154 14. Chapter Seven: Revolutionizing bioethanol production: The role of AI in process innovation - p. 167 15. Chapter Eight: AI in infectious disease diagnosis and vaccine development - p. 200 16. Chapter Nine: Harnessing artificial intelligence in identifying and isolation of marine peptides - p. 219 17. Chapter Ten: AI-based advances in crop disease detection and health improvement - p. 255 18. Chapter Eleven: The role of AI in microbial fermentation: Transforming industrial applications - p. 268 19. Chapter Twelve: Artificial intelligence and neurological health - p. 287 20. Chapter Thirteen: Enhancing microbiology with artificial intelligence: Future of disease detection and treatment - p. 297 21. Chapter Fourteen: Application of artificial intelligence (AI) in aquaculture/fisheries: Microbial disease identification and diagnosis - p. 323 22. Chapter Fifteen: Artificial intelligence in plant disease mitigation and nutrient acquisition - p. 354 23. Chapter Sixteen: AI-driven antimicrobial peptides for drug development - p. 391
Artificial Intelligence in Microbiology: Scope and Challenges, Volume-II, Volume 56 covers changes due to the emergence of Artificial Intelligence (AI). AI is being used to analyze massive data in a predictable form, about the behavior of microorganisms, to solve microbial classification-related problems, and more. Chapters include Taking on the resistance: AI and battle against antimicrobial resistance, AI-powered insights into microbial communities for bioremediation strategies, Efficient and cost-effective production of viral vaccines via AI, Production and development of novel drug targets through AI, Use of AI in neuroscience, Role of Artificial Intelligence in studying metagenomics of Microbes: Decoding the microbial Sphere, and more.
Other chapters explore Exploring the functional role of bacterial proteins via AI, Application of AI in Aquaculture/Fisheries: Disease identification, detection, diagnosis, drug development, Artificial Intelligence in drug discovery & development; scope and challenges, Production of bacteriocins by AI: as food preservative, Exploring the Role of Artificial Intelligence in the Microbial remediation of heavy metals, Uses of Artificial Intelligence in the Agricultural Pest Management, Microbial fermentation processes using Artificial Intelligence, and more.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. ii 4. Series Page - p. ii 5. Copyright - p. iii 6. Contributors - p. iii 7. Preface - p. xv 8. Chapter One: Taking on the resistance: Artificial intelligence (AI) and battle against antimicrobial resistance - p. 1 9. Chapter Two: Production of bacteriocins by AI: As food preservative - p. 34 10. Chapter Three: Artificial intelligence (AI) implementation in the food industry as a promising tool for protecting food from microbes - p. 61 11. Chapter Four: Artificial intelligence and microbial cellular intelligence for bioprocess and biofuel - p. 114 12. Chapter Five: The power of AI in viral vaccine production: A paradigm shift in efficiency and costs - p. 128 13. Chapter Six: Role of artificial intelligence in studying metagenomics of microbes: Decoding the microbial sphere - p. 154 14. Chapter Seven: Revolutionizing bioethanol production: The role of AI in process innovation - p. 167 15. Chapter Eight: AI in infectious disease diagnosis and vaccine development - p. 200 16. Chapter Nine: Harnessing artificial intelligence in identifying and isolation of marine peptides - p. 219 17. Chapter Ten: AI-based advances in crop disease detection and health improvement - p. 255 18. Chapter Eleven: The role of AI in microbial fermentation: Transforming industrial applications - p. 268 19. Chapter Twelve: Artificial intelligence and neurological health - p. 287 20. Chapter Thirteen: Enhancing microbiology with artificial intelligence: Future of disease detection and treatment - p. 297 21. Chapter Fourteen: Application of artificial intelligence (AI) in aquaculture/fisheries: Microbial disease identification and diagnosis - p. 323 22. Chapter Fifteen: Artificial intelligence in plant disease mitigation and nutrient acquisition - p. 354 23. Chapter Sixteen: AI-driven antimicrobial peptides for drug development - p. 391
