Prognosis of Alzheimer’s Disease Using Quantitative Mass Spectrometry of Human Blood Plasma Proteins and Machine Learning

Prognosis of Alzheimer’s Disease Using Quantitative Mass Spectrometry of Human Blood Plasma Proteins and Machine Learning

Early recognition of the risk of Alzheimer’s disease (AD) onset is a global challenge that requires the development of reliable and affordable screening methods for wide-scale application. Proteomic studies of blood plasma are of particular relevance; however, the currently proposed differentiating...

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Bibliographic Details
Main Authors: Alexey S. Kononikhin, Natalia V. Zakharova, Savva D. Semenov, Anna E. Bugrova, Alexander G. Brzhozovskiy, Maria I. Indeykina, Yana B. Fedorova, Igor V. Kolykhalov, Polina A. Strelnikova, Anna Yu. Ikonnikova, Dmitry A. Gryadunov, Svetlana I. Gavrilova, Evgeny N. Nikolaev
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:International Journal of Molecular Sciences
Subjects:
targeted proteomics
mass spectrometry
Alzheimer’s disease
multiple reaction monitoring
machine learning
Online Access:https://www.mdpi.com/1422-0067/23/14/7907

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https://www.mdpi.com/1422-0067/23/14/7907

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