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

<p dir="ltr">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 facil...

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Main Author: Hanan Ehtewish (17149825) (author)
Other Authors: Areej Mesleh (17149822) (author), Georgios Ponirakis (803076) (author), Alberto De la Fuente (18877321) (author), Aijaz Parray (290256) (author), Ilham Bensmail (12204845) (author), Houari Abdesselem (14152914) (author), Marwan Ramadan (17499450) (author), Shafi Khan (17499453) (author), Mani Chandran (17499447) (author), Raheem Ayadathil (14150124) (author), Ahmed Elsotouhy (3853348) (author), Ahmed Own (6677990) (author), Hanadi Al Hamad (12229412) (author), Essam M. Abdelalim (5768072) (author), Julie Decock (44558) (author), Nehad M. Alajez (7397276) (author), Omar Albagha (8977856) (author), Paul J. Thornalley (291723) (author), Abdelilah Arredouani (10914455) (author), Rayaz A. Malik (7372649) (author), Omar M. A. El-Agnaf (8809331) (author)
Published: 2023
Subjects:
Biological sciences
Bioinformatics and computational biology
Genetics
Biomedical and clinical sciences
Neurosciences
Information and computing sciences
Machine learning
dementia
MCI
plasma proteomics
biomarkers
Olink assay
machine learning
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