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May 21, 2026Chemical Science0 citationsOpen Access

Artificial intelligence-assisted phenotyping of drug-resistant bacteria using a monosaccharide-based fluorescent sensor array

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ZZZ ZHANGWGWen-Zhen GuiYTYi-Fan Tang

Key Points

  • The study aims to develop an AI-assisted method for accurately identifying drug-resistant bacteria using a sensor array.
  • Employed a monosaccharide-based fluorescent sensor array for detection.
  • Utilized machine learning algorithms to analyze sensor data.
  • Focused on phenotyping drug-resistant Pseudomonas aeruginosa.
  • Achieved accurate phenotyping of drug-resistant Pseudomonas aeruginosa.
  • Successfully utilized vibration-induced emission techniques for improved detection precision.

Abstract

A monosaccharide-based fluorescent sensor array utilizing vibration-induced emission achieves the accurate, machine learning-assisted phenotyping of drug-resistant Pseudomonas aeruginosa .

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Cite This Study

ZHANG et al. (2026) studied this question.

synapsesocial.com/papers/6a0ea127be05d6e3efb5f9f7https://doi.org/10.1039/d6sc00084c
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