This review explores AI-driven optimization of bacterial biosensors, suggesting improved diagnostic accuracy across fields.
This review explores the synergy of synthetic biology and AI in developing intelligent bacterial biosensors. It covers core design principles, AI-driven optimization, and diverse detection applications across various fields.
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Jing et al. (2026) studied this question.
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