Back to search

Article

Predicting Amyloid Positivity Through Proteomic and Machine Learning Approaches

2025-10-24

Abstract excerpt

<h4>Introduction</h4> Alzheimer’s disease is a progressive neurodegenerative disorder where early detection remains difficult. To address this challenge, we analysed a large proteomics dataset from older adults, including individuals diagnosed through clinical and imaging confirmation of brain amyloid deposition. We hypothesized that amyloid positivity could be detected using blood-based proteomic profiles combin...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e30d42c8-527d-5781-8068-cca7a25b23cf
DOI
10.1101/2025.10.20.25337968
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Predicting Amyloid Positivity Through Proteomic and Machine Learning ApproachesDOI 10.1101/2025.10.20.25337968
Select a neighboring publication to make it the new centre.