Artificial Intelligence in Microbiology: Scope and Challenges Volume 1
Series: Methods in Microbiology; 55;
- Publisher's listprice EUR 132.00
-
55 994 Ft (53 328 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 10% (cc. 5 599 Ft off)
- Discounted price 50 395 Ft (47 995 Ft + 5% VAT)
55 994 Ft
Availability
printed on demand
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher Academic Press
- Date of Publication 30 July 2024
- ISBN 9780443296246
- Binding Hardback
- No. of pages298 pages
- Size 229x152 mm
- Weight 1000 g
- Language English 633
Categories
Long description:
Nowadays, the field of microbiology is undergoing a revolutionary change 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, exploring the interaction between microorganisms and the surrounding environment. It also helps to extract novel microbial metabolites which have been used in various fields like medical, food and agricultural industries. As the pace of innovation in Microbiology is accelerating, the use of AI in these industries will be beneficial. AI will not only show its extraordinary potential in expanding the market of antibiotics, food, and agriculture but also offer an eco-friendly, safer, and profitable solution to the respective industries. It would be challenging to search out specific features and discuss future research on AI in microbiology with a wide perspective.
- Uncovering extended functions of AI in Microbiology.
- Production and development of novel drug targets through AI.
- Challenges for using and selecting appropriate AI tools in health, agriculture and food sector
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
