Blood-Based Proteomic Profiling Identifies Potential Biomarker Candidates and Pathogenic Pathways in Dementia

Blood-Based Proteomic Profiling Identifies Potential Biomarker Candidates and Pathogenic Pathways in Dementia

Dementia is a progressive and debilitating neurological disease that affects millions of people worldwide. Identifying the minimally invasive biomarkers associated with dementia that could provide insights into the disease pathogenesis, improve early diagnosis, and facilitate the development of effe...

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Bibliographic Details
Main Authors: Abdelalim, E.M (Author), Abdesselem, H. (Author), Al Hamad, H. (Author), Alajez, N.M (Author), Albagha, O. (Author), Arredouani, A. (Author), Ayadathil, R. (Author), Bensmail, I. (Author), Chandran, M. (Author), De la Fuente, A. (Author), Decock, J. (Author), Ehtewish, H. (Author), El-Agnaf, O.M.A (Author), Elsotouhy, A. (Author), Khan, S. (Author), Malik, R.A (Author), Mesleh, A. (Author), Own, A. (Author), Parray, A. (Author), Ponirakis, G. (Author), Ramadan, M. (Author), Thornalley, P.J (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
biomarkers
dementia
machine learning
MCI
Olink assay
plasma proteomics
Online Access:View Fulltext in Publisher
View in Scopus

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