A Single Blood Sample May Improve the Prediction of Colorectal Cancer Recurrence or Metastasis, KAIST Study Finds (IMAGE)
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FIGURE 1 Workflow of 19 F NMR–based serum amino acid profiling and data analysis. Serum samples collected from CRC patients were subjected to fluorine-labeling–based amino acid detection followed by 19 F NMR spectroscopy. Quantified amino acid data were processed using ratio-based normalization and multivariate analyses to characterize stage-specific metabolic patterns and construct machine learning models for prognostic risk prediction.
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KAIST
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