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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

R. Vandenberghe

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Open access Aug 2026

Data-driven mapping of known and novel fluid biomarker progression profiles in genetic frontotemporal lobar degeneration

The model’s accurate estimation of disease stages underscores the value of DEBM for patient stratification, offer a promising tool to support clinical trial design and provide a temporal ordering of multiple CSF proteins.

J. D. De Houwer, Wenjie Kang, Renee van Buuren et al. · 0 citations
Open access Jul 2026

Machine-learning MRI stratification of genetic frontotemporal dementia for clinical trial enrichment

Machine-learning stratification of genetic FTD reveals a progressive and a dissociated disease track and provides individualized progression scores that closely track clinical status, enabling smaller, more efficient prevention and early-intervention trials than conventional MRI or NfL markers alone.

M. Soltaninejad, Y. Iturria-Medina, A. Bouzigues et al. · 0 citations
Open access Aug 2026

Educational attainment and sex modulate clinical outcomes in genetic frontotemporal dementia

Sex and educational attainment significantly affect the development and maintenance of cognitive reserve in individuals with genetic FTD, and underscore the importance of identifying disease-modifying interventions since the presymptomatic stages of the disease.

E. Premi, Damiano Archetti, A. Redolfi et al. · 0 citations

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