Article

AI System Using Unsupervised Learning to Discover Novel Subtypes in Alzheimer’s Disease

2026-02-10

Abstract excerpt

Early Alzheimer’s disease often evades timely detection because typical diagnostics are based on symptomatic thinking rather than intrinsic neurodegeneration. Here, we use unsupervised machine learning to identify latent Alzheimer’s phenotypes from structural MRI-derived volumetric features and neuropsychological scores, without using diagnosis labels or predefined subtype definitions. We analyzed participants (18...

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Literature Corpus work: d3205ea0-b655-5c96-b998-b79f4e356bca
DOI: 10.64898/2026.02.08.704669

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