Label free, machine learning informed plasma-based elemental biomarkers of Alzheimer's disease-Reference-Cited by-同舟云学术

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Label free, machine learning informed plasma-based elemental biomarkers of Alzheimer's disease

Published:2024 Issue:8 Volume:39 Page:1961-1970
ISSN:0267-9477
Container-title:Journal of Analytical Atomic Spectrometry
language:en
Short-container-title:J. Anal. At. Spectrom.

Author:

Safi Ali¹^ORCID,Melikechi Noureddine¹^ORCID,Eseller Kemal Efe¹^ORCID,Gaschnig Richard M.¹,Xia Weiming¹²³

Affiliation:

1. Kennedy College of Sciences, University of Massachusetts Lowell, Lowell, MA 01854, USA

2. Bedford VA Healthcare System, Bedford, MA 01730, USA

3. Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA

Abstract

Machine learning analysis of ICP-MS data identifies elemental ratios that differentiates with great accuracy blood plasma of Alzheimer’s patients and healthy donors.

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/JA/D4JA00090K

Reference45 articles.

1. Mutant presenilins of Alzheimer's disease increase production of 42-residue amyloid β-protein in both transfected cells and transgenic mice

2. Alzheimer disease

3. Imaging the evolution and pathophysiology of Alzheimer disease

4. Blood-based biomarkers for Alzheimer disease: mapping the road to the clinic

5. Biomarker Changes during 20 Years Preceding Alzheimer’s Disease

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