Artificial Intelligence in Microbiology: Scope and Challenges volume-II

Artificial Intelligence in Microbiology: Scope and Challenges volume-II
Author :
Publisher : Elsevier
Total Pages : 424
Release :
ISBN-10 : 9780443296277
ISBN-13 : 0443296278
Rating : 4/5 (278 Downloads)

Book Synopsis Artificial Intelligence in Microbiology: Scope and Challenges volume-II by :

Download or read book Artificial Intelligence in Microbiology: Scope and Challenges volume-II written by and published by Elsevier. This book was released on 2025-01-31 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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


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