Artificial Intelligence in Microbiology: Transforming Diagnostics, Antimicrobial Resistance and Public Health: A Review

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Magimai Rufus A.J; Deepa S; Deepa C.Philip; Bharathi B

Artificial Intelligence in Microbiology: Transforming Diagnostics, Antimicrobial Resistance and Public Health: A Review

Authors: Magimai Rufus A.J, Deepa S, Deepa C.Philip, Bharathi B

Unique Paper ID: 182566
Volume: 12
Issue: 2
PageNo: 2556-2560

Keywords: Artificial intelligence machine learning antimicrobial resistance predictive modeling neural networks genomic data analysis smart antibiotics public health surveillance AI-powered research healthcare

Abstract:
The new technologies based on AI are changing microbiology for the better by improving diagnostics, fighting against antimicrobial resistance (AMR), and even improving public health surveillance. The use of machine learning algorithms along with predictive modeling tools and neural networks has made it easier to identify different microorganisms and patterns in genomic data as well as predict future outbreaks. This review aims to analyze the application of AI in modern microbiological diagnostics, AI-powered research in smart antibiotics, and epidemiological interventions while also considering subsequent trends and outcome.

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ISSN: 2349-6002
Volume: 12
Issue: 2
PageNo: 2556-2560

Artificial Intelligence in Microbiology: Transforming Diagnostics, Antimicrobial Resistance and Public Health: A Review

Available:https://ijirt.org/Article?manuscript=182566

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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