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Edoardo Guido Torrigiani

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Open access Sep 2026

Application of unsupervised and supervised machine learning approaches to blood-based biomarkers of Alzheimer’s disease in a memory clinic cohort

Blood-based biomarkers (BBMs) are promising tools to facilitate biological diagnosis of Alzheimer’s Disease (AD). Establishing reliable cutoffs for BBMs represents a major issue for real-world implementation and the investigation of combined BBM approaches is limited. Our aim is to test different machine learning...

Edoardo Guido Torrigiani, D. Cianca, L. Gaetani et al. · 0 citations

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