Date of Award
1-1-2014
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
College/School/Department
Department of Chemistry
Content Description
1 online resource (xv, 93 pages) : illustrations (some color)
Dissertation/Thesis Chair
Igor K. Lednev
Committee Members
Rabi A. Musah, Alexander Shekhtman, Carla A. Theimer, Earl A. Zimmerman
Keywords
Alzheimer's disease, artificial neural networks, blood serum, cerebrospinal fluid, multivariate statisitcs, Raman spectroscopy, Cerebrospinal fluid, Serum
Subject Categories
Analytical Chemistry | Biochemistry | Biostatistics
Abstract
The efficient and accurate diagnosis at the early stages of dementia is a key moment for effective treatment and productive research to find a new ways to combat the disease. It is especially true for Alzheimer's disease (AD) for which there is no effective cure, but several treatments are known to allow slowing down the degenerative processes. Alzheimer's disease (AD) displays only non-specific clinical symptoms of mental decline for decades after the initiation and is very challenging to differentiate even at the later stages when it becomes very aggressive. Despite the great need, current diagnostic tests are unable to diagnose different forms of dementia and other neurodegenerative diseases implicitly.
Recommended Citation
Ryzhikova, Elena, "Raman spectroscopy of blood serum and cerebrospinal fluid and multivariate data analysis for Alzheimer's disease diagnostics" (2014). Legacy Theses & Dissertations (2009 - 2024). 1259.
https://scholarsarchive.library.albany.edu/legacy-etd/1259