Buch, Englisch, 450 Seiten, Format (B × H): 191 mm x 235 mm
Unlocking the Potential of Artificial Intelligence
Buch, Englisch, 450 Seiten, Format (B × H): 191 mm x 235 mm
ISBN: 978-0-443-40362-0
Verlag: Elsevier Science
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.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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)