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Surface-enhanced Raman spectroscopy and machine learning for saliva biosensing: From substrate design to clinical diagnostics
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DOI：10.1016/j.trac.2026.119037.png)
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Abstract
En 中文
• Systematic review integrating SERS and machine learning for saliva-based biosensing and diagnostics. • Systematic framework detailing engineered SERS substrates and ML pipelines for salivary spectral analysis. • Forward-looking perspectives on SERS-ML clinical translation for non-invasive point-of-care disease detection.
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