Abstract
Metabolomics, as a key tool in 21st-century Precision Medicine, enables the characteriza-tion of individual metabolic states through metabolite analysis. Among omics technologies, nuclear magnetic resonance (NMR) stands out for its reproducibility and absolute quantifi-cation capabilities, though it faces challenges related to sensitivity, spectral complexity, quality control, and clinical translation. This essay addresses the technical, methodological, and logistical hurdles of NMR-based metabolomics, as well as its potential in biomarker identification and the establishment of robust clinical cohorts. The integration of NMR with artificial intelligence and multi-omics approaches opens new opportunities to advance towards more preventive, personalized medicine that can be effectively implemented in real-world clinical settings.
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