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Although large panels based on multi\u2010biomarkers have demonstrated potential in enhancing diagnostic accuracy, their clinical application is hindered by complexity and high costs. To overcome these limitations, we have developed a DNA\u2010based molecular computation system that integrates the detection of plasma circular RNAs (circRNAs) with molecular computation, enabling intelligent and rapid diagnosis of BTC. By identifying and validating a specific and small set of circRNA biomarkers that are differentially expressed in BTC patients, we designed a DNA computation framework that directly translates biomarker levels into diagnostic outcomes without the need of external analysis and interpretation. In a validation cohort of 70 individuals, our approach achieved a diagnostic accuracy of 83%, demonstrating its potential as a cost\u2010effective and efficient tool for rapid diagnosis of BTC. 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