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Full Description
Revolutionizing Microbial Technology: Unlocking the Potential of Artificial Intelligence offers an insightful look into the dynamic intersection of artificial intelligence (AI) and microbiology. This book examines how AI and machine learning are transforming microbiological research and applications, spanning from basic science to advanced biotechnological processes. By integrating computational tools with traditional techniques, the text demonstrates how AI enhances the identification, characterization, and understanding of microbes while streamlining laboratory practices. Through detailed discussions and real-world examples, the book highlights the growing influence of AI-driven innovations in microbiology and their implications for both academic and practical settings.
Beyond foundational topics, the book explores AI-powered advancements in healthcare, such as improved diagnosis of microbial diseases and the development of AI-driven therapies. It considers the role of bioinformatics in processing complex microbial data, enabling deeper insights into biological systems. The book also addresses AI's transformative impact on drug discovery and development, emphasizing efficiency and cost-effectiveness.
Contents
1. AI Solutions for Antibiotic Resistance: Revolutionizing Infection Management
2. Bioinformatics and Computational Approach for Managing Microbial Data
3. Fungal Extracellular Carboxylic Acids Associated to Artificial Intelligence: A Wide Perspective for the Future
4. AI Applications in Biomedical Sciences
5. Production of Bacteriocins by AI as Food Preservatives
6. Production of Metabolites from Medicinal Plants via AI Approach
7. Microbial Vitamins: Old Aspects vs Modern AI
8. Production, Extraction and Encapsulation of Microbial Metabolites by Artificial intelligence Sources
9. Ethical and Regulatory Considerations for Implementing AI in Medical Sciences
10. Accelerating Drug Discovery Through AI-Guided Microbial Screening
11. Explore the Ethical and Scientific Implications of Gene Editing Technologies (E.G., CRISPR via AI)
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