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Author

Giovanna Nardi

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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

The results prove that clustering approaches can help in identifying reliable BBMs cutoffs for AD diagnosis even in the absence of CSF gold standard reference and that ML approaches combining multiple BBMs can strongly enhance their diagnostic accuracy.

Edoardo Guido Torrigiani, D. Cianca, L. Gaetani et al. · 0 citations
Open access Aug 2026

Cerebrospinal fluid and plasma biomarkers in idiopathic normal pressure hydrocephalus: comparison with Alzheimer's and Parkinson's diseases

Background Idiopathic normal pressure hydrocephalus (iNPH) is a potentially reversible neurological disorder whose diagnosis is complicated by clinical overlap with neurodegenerative diseases. Fluid biomarkers may provide insight into disease mechanisms and support differential diagnosis. Methods We performed a small e...

Francesca Pappafava, L. Gaetani, M. Ottaviani et al. · 0 citations
Jul 2026

Can the integration of blood-based biomarkers into Alzheimer’s disease diagnosis revolutionize the field?

The authors critically appraise the current evidence supporting plasma phosphorylated tau at threonine 217 (p-tau217) as the leading BBM for AD, and highlight current limitations, unresolved challenges, and future perspectives for the integration of plasma biomarkers into routine clinical practice.

L. Gaetani, Giovanna Nardi, Lucilla Parnetti · 0 citations

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