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This review discusses the application of artificial intelligence (AI) tools for identifying antibiotic resistance genes (ARGs) to address the growing crisis of antibiotic resistance. Traditional methods for detecting ARGs have limitations, but AI approaches, including machine learning and deep learning, show promise in enhancing detection accuracy and identifying novel ARGs. The review highlights various AI methodologies, their potential applications, and specific algorithms used for direct classification a

Author

santinaaya

Language

EN