Article

MCH-Guard: Multimodal Machine Learning Framework for Risk Stratification of Cerebral Microhemorrhage Risk in the Alzheimer’s Disease Neuroimaging Initiative

2026-06-22

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Efficient cerebral microhemorrhage (MCH) monitoring is critical for anti-amyloid therapy safety due to ARIA-H risk. We developed MCH-Guard, a multimodal machine-learning framework, to stratify MCH risk using ADNI data (N=813). <h4>Methods</h4> Nested models integrated clinical history, fluid biomarkers, and imaging to predict MCH presence, incidence, and stability. <h4>Resu...

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Literature Corpus work: 6d48ef02-7c92-54c3-b508-c6abc9a4a2e5
DOI: 10.64898/2026.06.18.26355972

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