Author

A. Saykin

3 papers indexed here

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Open access Sep 2026

Divergent amyloid trajectories distinguish normal aging from Alzheimer's disease progression

Aging is the greatest risk factor for Alzheimer’s disease (AD), yet how and when AD-related pathological progression diverges from aging remains poorly understood. This distinction is particularly difficult at early stages, when clinically and biomarker-defined populations contain individuals following fundamentally di...

Ming-Zhao Tong, Tian-Chuan Gao, Yurika Upadhyaya et al. · bioRxiv · 0 citations

Preprint Aug 2026

GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning

GenFAR, a modular deep learning framework that learns general, clinically informed features from brain MRIs, is introduced, showing that using the learned feature representation can substantially increase the sample efficiency of secondary deep learning training tasks and models, as well as improve their accuracy.

V. Bashyam, G. Erus, Jun-Hao Wen et al. · 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