Author

R. Duara

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Open access Aug 2026

Machine learning for the prediction of amyloid PET positivity using plasma biomarkers, cognition, APOE genotype, and structural imaging

Purpose Machine learning to enable precise, non-invasive detection of cerebral amyloid-beta (Aβ) pathology by integrating cognitive assessments, plasma biomarkers, and structural neuroimaging. Methods We developed an explainable multimodal machine-learning framework to predict amyloid PET visual read status using plasm...

Thony Yan Liang, Xue-Ting Cui, Micheal Adeyosoye et al. · Frontiers in Neuroscience · 0 citations

Open access Aug 2026

EOAD-Signature Atrophy Predicts Dementia in Early-Onset MCI due to Alzheimer Disease

Findings support the potential value of EOAD-signature atrophy as an MRI-based biomarker for individualized prognostication and clinical trial stratification and support the potential value of EOAD-signature atrophy as an MRI-based biomarker for individualized prognostication and clinical trial stratification.

T. Paranhos, Yuta Katsumi, M. Brickhouse et al. · Neurology · 0 citations

Open access Sep 2026

CSF proteomics and machine learning reveal distinct stages across the Alzheimer’s disease continuum

These findings uncover protein signatures that reflect underlying AD biology and provide a foundation for stage-specific biomarkers and therapeutic targeting, with important implications for patient stratification and personalized intervention strategies.

Saima Rathore, E. Dammer, Anantharaman Shantaraman et al. · Molecular Neurodegeneration · 0 citations