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  1. Salivary fingerprinting and neural network identified high-risk periodontitis in diabetes
    Lightweight neural networks analyze salivary metabolics via mass spectrometry to screen for periodontitis and diabetes, achieving 91.9% accuracy with minimal computational resources for clinical.