Author

D. Loewenstein

3 papers indexed here

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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 Sep 2026

Multiscale Organization of Amyloid-Associated Vulnerability Across the Hippocampal Memory System.

Alzheimer's disease (AD) selectively affects interconnected components of the hippocampal memory system, yet most MRI biomarkers characterize neurodegeneration using whole-hippocampal or isolated regional measurements. We tested whether amyloid-associated structural vulnerability is selectively concentrated in the corn...

Xue-Ting Cui, T. Y. Liang, Micheal Adeyosoye et al. · NeuroImage · 0 citations

Sep 2026

Multimodal prediction of MCI-to-dementia conversion over a two-year window.

An explainable multimodal machine-learning framework to predict progression from MCI to dementia within a clinically meaningful two-year period is developed and the convergence of cognitive impairment and region-specific neurodegeneration emerged as the strongest indicator of conversion risk.

Bipul Simkhada, T. Y. Liang, Xue-Ting Cui et al. · GeroScience · 1 citation · ⚡1