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Article

Network Biomarkers of Alzheimer’s Disease Risk Derived from Joint Volume and Texture Covariance Patterns in Mouse Models

2025-02-06

Abstract excerpt

Alzheimer’s disease (AD) lacks effective cures and is typically detected after substantial pathological changes have occurred, making intervention challenging. Early detection and understanding of risk factors and their downstream effects are therefore crucial. Animal models provide valuable tools to study these prodromal stages. We investigated various levels of genetic risk for AD using mice expressing the three...

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Literature Corpus work
4e8e38bf-4c55-5493-892b-627dd87709fa
DOI
10.1101/2025.02.05.636582
Open publication

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Network Biomarkers of Alzheimer’s Disease Risk Derived from Joint Volume and Texture Covariance Patterns in Mouse ModelsDOI 10.1101/2025.02.05.636582
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