Back to search

Article

Machine Learning Classification of Alzheimer’s Disease Pathology Reveals Diffuse Amyloid as a Major Predictor of Cognitive Impairment in Human Hippocampal Subregions

2023-06-05

Abstract excerpt

Analyzing Alzheimer’s disease (AD) pathology within anatomical subregions is a significant challenge, often carried out by pathologists using a standardized, semi-quantitative approach. To augment traditional methods, a high-throughput, high-resolution pipeline was created to classify the distribution of AD pathology within hippocampal subregions. USC ADRC post-mortem tissue sections from 51 patients were stained...

Topics

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

Identifiers and source

Literature Corpus work
7f7b612f-2a8e-58bd-87fd-e0efc1e80529
DOI
10.1101/2023.05.31.543117
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.
Machine Learning Classification of Alzheimer’s Disease Pathology Reveals Diffuse Amyloid as a Major Predictor of Cognitive Impairment in Human Hippocampal SubregionsDOI 10.1101/2023.05.31.543117
Select a neighboring publication to make it the new centre.