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Artificial intelligence based approaches for prediction of antimicrobial resistance in ruminant host pathogens

Ragini Kushwaha1, Anu Sharma2, Bhavesh Kumar Choubisa3

  • 1Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India. raginikushwaha2016@gmail.com.

World Journal of Microbiology & Biotechnology
|March 9, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Antimicrobial Resistance (AMR)DNABERTDeep Learning (DL)Genomic FeaturesMachine Learning (ML)Ruminant Microbiota

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