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Integrating Machine Learning Pipelines for Multimodal Biomarker Prediction in Alzheimer’s and Parkinson’s Disease: A Component of the Neurodiagnoses Framework

2025-08-14

Abstract excerpt

<h4>ABSTRACT</h4> Alzheimer’s and Parkinson’s diseases are age-related neurodegenerative diseases that often require invasive procedures for diagnosis. Traditional diagnostic methods may fail to capture the interplay between genetic, molecular, and neuroanatomical markers. This manuscript aims to develop interpretable machine learning models that can predict key biomarkers, such as pTau, tTau, Aβ positivity, and...

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Literature Corpus work: 701e288f-191d-567c-bf72-1bed9aefe74d
DOI: 10.1101/2025.08.13.25333561

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