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Bioinformatics and machine learning identify biomarkers for inflammatory bowel disease and metabolic syndrome, suggesting new validation pathways.
Our study demonstrates that integrated bioinformatics and machine learning approaches can identify transcriptomic signatures associated with IBD and metabolic syndrome, providing candidate biomarkers for further validation.
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Yin et al. (2026) studied this question.
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