Buch, Englisch, 220 Seiten, Format (B × H): 191 mm x 235 mm
Buch, Englisch, 220 Seiten, Format (B × H): 191 mm x 235 mm
ISBN: 978-0-443-52788-3
Verlag: Elsevier Science
Bioinformatics, Computational Biology, and Multi Omics–Driven Probiotic Design for Gut Microbiome Engineering presents an interdisciplinary framework for applying artificial intelligence to microbiome science, probiotic development, and personalized nutrition. The book integrates bioinformatics, computational biology, and clinical insight to address current challenges in gut microbiome research and translation. The volume covers AI driven microbiome profiling, multi omics integration, computational modeling of host–microbe interactions, and predictive analytics. It progresses from foundational concepts to advanced applications, including AI assisted probiotic design, gut–brain axis research, regulatory considerations, and real world case studies supporting translational and clinical relevance. The book equips bioinformaticians, translational microbiome researchers, and clinician scientists with actionable methodologies, conceptual clarity, and validated examples. It supports evidence based decision making, accelerates translational research, and bridges discovery science with implementation in personalized nutrition and probiotic innovation.
Autoren/Hrsg.
Weitere Infos & Material
1. Introduction to AI in Nutrition and Probiotics
2. Understanding the Role of the Gut Microbiome in Health
3. Bioinformatics Tools for Gut Microbiome Analysis
4. Design and Development of AI Programmed Probiotics
5. Computational Modeling of Host–Microbiome Interactions
6. Multi Omics Approaches in Personalized Nutrition
7. Collection and Fusion of Data for AI Probiotics
8. Amplifying Microbiome Efficacy through AI
9. Artificial Intelligence in Personalized Nutrition
10. Nanotechnology and AI in Targeted Probiotic Release
11. Gut Health Management through Predictive Modelling
12. AI Driven Personalization in Gut Microbiome Research
13. Gut–Brain Axis and Real World Applications
14. Microbiome Based Therapeutics and AI
15. Regulatory and Translational Considerations
16. Case Studies in AI Driven Probiotics
17. Latest AI Tools for Probiotic Development
18. Microbiome Precision Using AI: Challenges and Opportunities
19. Ethical Considerations and Future Perspectives




