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Article

Identifying sex-specific sub-phenotypes of Alzheimer's disease progression using longitudinal electronic health records.

EBioMedicine - 1 Aug 2026

Meng Weimin, Yang Qiang, Xu Jie, Huang Yu, Wang Cankun, Song Qianqian, Song Lixin, Bian Jiang, Ma Qin, Ma Anjun, Yin Rui

Abstract excerpt

BACKGROUND: Alzheimer's Disease (AD) is a complex neurodegenerative disorder, with women comprising nearly two-thirds of individuals with AD. However, sex-specific heterogeneity in AD progression remains insufficiently understood. A data-driven approach is needed to characterise such heterogeneity from longitudinal electronic health records (EHRs). METHODS: We developed a deep learning-based framework to uncover...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 42462283
DOI: 10.1016/j.ebiom.2026.106391
PMCID: PMC13383015

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