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<B>A fiber-optic based multiplexed, in-vivo sensor for Alzheimer's disease
monitoring and risk stratification </B>
   Lead Investigator:    Shawana Tabassum
   Institution      :     
   E-Mail           :    stabassum@uttyler.edu
   Proposal ID      :    1660
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   Proposal Description:
   <textarea name="description" rows="12" cols="85" wrap="virtual" readonly>The goals of the proposed research are:    1. develop and validate a multiplexed fiber-optic sensor for in-vivo monitoring of multiple biomarkers of dementia in cerebrospinal fluid (CSF).  2. develop a regression model to find the correlation between CSF biomarkers (i.e., correlation of one biomarker in relation to others).  3. develop a classifier to provide risk stratification of Alzheimer's based on CSF biomarker levels.    The expected outcomes are:    1. a multiplexed fiber-optic sensor that will detect multiple biomarkers in cerebrospinal fluid (CSF) in a single assay.  2. a regression model that will enhance our understanding of the pathogenesis of Alzheimer's and help clinicians identify the most useful biomarkers for early diagnosis and prognosis of Alzheimer's  3. a machine learning model that will classify Alzheimer's patients according to risk scores. </textarea>