Nowadays, the field of microbiology is undergoing a revolutionary change 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, exploring the interaction between microorganisms and the surrounding environment. It also helps to extract novel microbial metabolites which have been used in various fields like medical, food and agricultural industries. As the pace of innovation in Microbiology is accelerating, the use of AI in these industries will be beneficial. AI will not only show its extraordinary potential in expanding the market of antibiotics, food, and agriculture but also offer an eco-friendly, safer, and profitable solution to the respective industries. It would be challenging to search out specific features and discuss future research on AI in microbiology with a wide perspective.
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Series Page - p. ii 5. Copyright - p. iv 6. Contributors - p. xi 7. Preface - p. xv 8. Chapter One Production and development of novel drug targets through AI - p. 1 9. Chapter Two Implementation of artificial intelligence (AI) and machine learning (ML) in microbiology - p. 29 10. Chapter Three Harnessing artificial intelligence (AI) techniques for the diagnosis of microbial disease in humans - p. 43 11. Chapter Four AI methods in microbial metabolite determination - p. 71 12. Chapter Five Artificial intelligence as a smart approach in clinical microbiology laboratory - p. 87 13. Chapter Six AI-driven microbial medicine development - p. 101 14. Chapter Seven Leveraging artificial intelligence (AI) and machine learning (ML) for enhanced drug discovery and development from microbes - p. 125 15. Chapter Eight Artificial intelligence and its role in soil microbiology and agricultural sustenance - p. 141 16. Chapter Nine Artificial intelligence in plant disease identification: Empowering agriculture - p. 179 17. Chapter Ten The intersection of artificial intelligence and mycology: Advancements and opportunities in fungal identification - p. 195 18. Chapter Eleven Applications of artificial intelligence and machine learning in microbial diagnostics and identification - p. 213 19. Chapter Twelve Unravelling the gut microbiome: Connecting with AI for deeper insights - p. 231 20. Chapter Thirteen Ethical and social issues related to AI in healthcare - p. 247
Nowadays, the field of microbiology is undergoing a revolutionary change 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, exploring the interaction between microorganisms and the surrounding environment. It also helps to extract novel microbial metabolites which have been used in various fields like medical, food and agricultural industries. As the pace of innovation in Microbiology is accelerating, the use of AI in these industries will be beneficial. AI will not only show its extraordinary potential in expanding the market of antibiotics, food, and agriculture but also offer an eco-friendly, safer, and profitable solution to the respective industries. It would be challenging to search out specific features and discuss future research on AI in microbiology with a wide perspective.
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Series Page - p. ii 5. Copyright - p. iv 6. Contributors - p. xi 7. Preface - p. xv 8. Chapter One Production and development of novel drug targets through AI - p. 1 9. Chapter Two Implementation of artificial intelligence (AI) and machine learning (ML) in microbiology - p. 29 10. Chapter Three Harnessing artificial intelligence (AI) techniques for the diagnosis of microbial disease in humans - p. 43 11. Chapter Four AI methods in microbial metabolite determination - p. 71 12. Chapter Five Artificial intelligence as a smart approach in clinical microbiology laboratory - p. 87 13. Chapter Six AI-driven microbial medicine development - p. 101 14. Chapter Seven Leveraging artificial intelligence (AI) and machine learning (ML) for enhanced drug discovery and development from microbes - p. 125 15. Chapter Eight Artificial intelligence and its role in soil microbiology and agricultural sustenance - p. 141 16. Chapter Nine Artificial intelligence in plant disease identification: Empowering agriculture - p. 179 17. Chapter Ten The intersection of artificial intelligence and mycology: Advancements and opportunities in fungal identification - p. 195 18. Chapter Eleven Applications of artificial intelligence and machine learning in microbial diagnostics and identification - p. 213 19. Chapter Twelve Unravelling the gut microbiome: Connecting with AI for deeper insights - p. 231 20. Chapter Thirteen Ethical and social issues related to AI in healthcare - p. 247
