DP-AST vs. traditional AST method. (IMAGE)
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Conventional MIC breakpoint-based classification may capture only the “tip of the iceberg,” leaving a hidden reservoir of sub-resistant bacteria unresolved that could evolve into overt resistance under sustained antibiotic pressure. To address this limitation, the research team developed DP-AST, an AI-assisted rapid antibiotic susceptibility testing platform inspired by the “six-four water diversion” principle of the Dujiangyan irrigation system. By translating ancient hydraulic wisdom into microfluidic chip design, DP-AST enables automated evaluation of bacterial growth activity and antibiotic concentration-effect curves, thereby supporting more precise susceptibility assessment and antibiotic treatment guidance.
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