Artificial Intelligence in Microbiology: Scope and Challenges volume-II
Series: Methods in Microbiology; 56;
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Product details:
- Publisher Academic Press
- Date of Publication 24 January 2025
- ISBN 9780443296260
- Binding Hardback
- No. of pages424 pages
- Size 229x152 mm
- Weight 1000 g
- Language English 682
Categories
Long description:
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.
- Uncovers extended functions of AI in microbiology
- Includes topics surrounding the production and development of novel drug targets through AI
- Presents the existing challenges for using and selecting appropriate AI tools in health, agriculture, and in the food sector
Table of Contents:
Taking on the resistance: Artificial intelligence (AI) and battle against antimicrobial resistance
Tim Sandle
2. AI-based advances in crop disease detection and health improvement
Reeva Shahid, Syla Shahid, Jasleen Gund and Navaneet Chaturvedi
3. The power of AI in viral vaccine production: A paradigm shift in efficiency and costs
Bappi Sarkar
4. Artificial intelligence and microbial cellular intelligence for bioprocess and biofuel
Tawaf Ali Shah, Li Zhihe, Li Zhiyu and Andong Zhang
5. Application of artificial intelligence (AI) in neurological health and diseases
Arinjay Jain, Shipra Dwivedi, Neeru Jain, Vaibhav Mishra and Amit Kumar Madeshiya
6. Role of artificial intelligence in studying metagenomics of microbes: Decoding the microbial sphere
Raheela Waheed, Farah Deeba and Urwa Ijaz
7. Revolutionizing bioethanol production: The role of AI in process innovation
Akanksha Srivastava
8. Application of artificial intelligence (AI) in Aquaculture/Fisheries: Microbial disease identification and diagnosis
Bhavesh Choudhary, Arup Das and Vinayaka Choudhary
9. Production of bacteriocins by AI: As food preservative
Mudasir Rashid, Amzad Basha Kolar, S.I Beema Jainab, Rumaisa Rashid, T.A. Sathya, Hassan Brim and Hassan Ashktorab
10. Harnessing artificial intelligence in identifying and isolation of marine peptides
Kumari Priyanshi, Bhavya Gaur and Vaibhav Mishra
11. The synergy of AI and microbial fermentation: advancing industrial applications
Akanksha Srivastava and Chhavi Atri
12. Artificial intelligence (AI) implementation in the food industry as a promising tool for protecting food from microbes
Ghada Abd-Elmonsef Mahmoud, Karima Mogahed Fahim, Eman M. Taher, Basma M. Hassan, Walaa G. Nadi and Lamiaa Ibrahim Ahmed
13. Use of AI techniques in the diagnosis of infectious diseases and vaccine development
Yuktika Malhotra, Deepika Yadav, Navaneet Chaturvedi, Kamal Rawal, Ajay Kumar and Khurshid Ahmad
14. Enhancing microbiology with artificial intelligence: Future of disease detection and treatment
Smitha MS and Manal Sajid Siddiqui
15. Artificial intelligence in plant disease mitigation and nutrient acquisition
Knight Nthebere, Manikyala Bhargava Narasimha Yadav, G. R Vishwas Gowda, Nallagatla Vinod Kumar, Naveen Chandra joshi and Jaagriti Tyagi
16. AI-driven drug design and antimicrobial peptide engineering for microbial applications
Yakshit Arora, Harsh Lalwani, Ajay Kumar, Puniti Mathur, Navaneet Chaturvedi and Vaibhav Mishra
