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Sep 2026

High-throughput targeted quantification and interpretable machine learning for differentiating Baijiu aroma types.

The quantitative analysis of volatile flavor compounds in Baijiu presents challenges owing to the extensive variety and differing concentrations of these compounds. This research developed a quantitative method for 249 compounds using gas chromatography flame ionization detection (GC-FID) and gas chromatography tandem...

Sen Luo, Jiao Niu, Li Zhu et al. · 0 citations
Open access Sep 2026

External validation of machine learning models for predicting prehospital delay in acute ischemic stroke: a retrospective cohort study

Background and purpose Prehospital delay remains a major barrier to timely reperfusion therapy in acute ischemic stroke (AIS). We externally validated eight prediction algorithms and examined whether complex machine-learning models added value beyond logistic regression. Methods This retrospective cohort study included...

Shan Zeng, A. Yusufujiang, Hui Dang et al. · 0 citations

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