Abstract
Abstract: This article explores the pivotal role of artificial intelligence (AI) in combating antibiotic-resistant bacteria, emphasizing its potential to accelerate antibiotic discovery and improve treatment outcomes. It highlights recent advancements in AI-driven research that demonstrate the feasibility of identifying novel antibiotic candidates and the challenges faced, such as data quality and algorithm development. The integration of AI in this field is seen as a promising solution to the global health threat posed by drug-resistant pathogens, offering new strategies for developing effective antibiotics. The review also underscores the necessity for interdisciplinary collaboration and further research to enhance AI's predictive accuracy and application in drug development processes.
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