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Metabolomics, a comprehensive study of metabolites (an end product of any biological process) is becoming an important tool in the biomedical research. Nuclear Magnetic Resonance (NMR) is a non-destructive analytical platform to qualitatively and quantitatively characterize metabolites in a biological mixture. Recently, artificial intelligence (AI) and machine learning (ML) methods are gaining importance in the NMR-based metabolomics research. This comprehensive review compiles recent methods and application in the AI-based research related to the NMR-based metabolomics.

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Unlocking the Potential of Nuclear Magnetic Resonance Based Metabolomics with Artificial Intelligence (AI): A Review

  • 章节

  • 发表日期：

    2026年

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  • Renuka Ranjan,
  • Neeraj Sinha

摘要

Metabolomics, a comprehensive study of metabolites (an end product of any biological process) is becoming an important tool in the biomedical research. Nuclear Magnetic Resonance (NMR) is a non-destructive analytical platform to qualitatively and quantitatively characterize metabolites in a biological mixture. Recently, artificial intelligence (AI) and machine learning (ML) methods are gaining importance in the NMR-based metabolomics research. This comprehensive review compiles recent methods and application in the AI-based research related to the NMR-based metabolomics.