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A new lightweight artificial intelligence model combined with salivary metabolic analysis achieved 91.9% accuracy in identifying patients with both type 2 diabetes and periodontitis in just 0.7 minutes per test, offering a rapid non-invasive screening tool.
Original paper: Lightweight liquid neural networks decipher salivary metabolic fingerprinting for high-risk periodontitis screening in diabetes. — NPJ digital medicine. 10.1038/s41746-026-02593-7