Artificial Intelligence in Microbiology: Scope and Challenges Volume 1

 
Publisher: Academic Press
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Artificial Intelligence in Microbiology: Scope and Challenges, Volume Fifty-Five in the Methods in Microbiology series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Use of AI techniques in the diagnosis of infectious diseases, Potential future of AI for Microbiology applications - Benefits, challenges, and opportunities, Production and development of novel drug targets through AI, AI: beneficial or harmful for humans, The use of artificial intelligence techniques in the diagnosis of infectious diseases, Ethical and Social Issues Related to Artificial Intelligence in Healthcare, and more.

Other chapters cover Artificial Intelligence as a smart approach in Clinical Microbiology, Computation-assisted methods in the determination of microbial metabolites, Artificial Intelligence in drug discovery and development, AI and its role in soil microbiology and agriculture sustenance, Role of AI in fungus identification, characterization and interaction, Isolation and Characterization Techniques, Agriculture sector and artificial Intelligence, and more.


  • Provides the latest information on artificial intelligence in microbiology
  • Offers outstanding and original reviews on a range of artificial intelligence topics
  • Serves as an indispensable reference for researchers and students alike
Table of Contents:
Preface
1. Use of AI techniques in the diagnosis of infectious diseases
Russell Kabir
2. Potential future of AI for Microbiology applications - Benefits, challenges, and opportunities
Manan Shah
3. Production and development of novel drug targets through AI
Ghada Abd-Elmonsef Mahmoud Jr.
4. AI; beneficial or harmful for humans
Amit Madeshiya
5. THE USE OF ARTIFICIAL INTELLIGENCE TECHNIQUES IN THE DIAGNOSIS OF INFECTIOUS DISEASES
Odangowei Ogidi and Pere-Ere Sarah Tobia
6. Ethical and Social Issues Related to Artificial Intelligence in Healthcare
Himel Mondal and Shaikat Mondal
7. Artificial Intelligence as a smart approach in Clinical Microbiology.
Akanksha Srivastava
8. Computation-assisted methods in the determination of microbial metabolites
Sebnem Ozturkoglu-Budak
9. Artificial Intelligence in drug discovery and development
Vaibhav Mishra
10. AI and its role in soil microbiology and agriculture sustenance
Naveen Chandra Joshi
11. Role of AI in fungus identification, characterization and interaction
Sakshi Arora
12. Isolation and Characterization Techniques
Dr Olanrewaju Roland Akinseye
13. Agriculture sector and artificial Intelligence
Vaibhav Mishra
14. Role of AI in GUT microbiota and Sleep disorder
Akanksha Srivastava