Article

Deep learning-driven risk-based subtyping of cognitively impaired individuals

2021-12-09

Abstract excerpt

Quantifying heterogeneity in Alzheimer’s disease (AD) risk is critical for individualized care and management. Recent attempts to assess AD heterogeneity have used structural (magnetic resonance imaging (MRI)-based) or functional (Aβ or tau) imaging, which focused on generating quartets of atrophy patterns and protein spreading, respectively. Here we present a computational framework that facilitated the identific...

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Literature Corpus work: 1d3dd597-c828-5c48-9901-b7f3faee3372
DOI: 10.1101/2021.12.08.21267495

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