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Principal components analysis of Raman spectra to aid the diagnosis of alzheimer's disease

Archer, J.K.J. and Black, R.A. and Thalmann, D. and Sudworth, C.D. (2005) Principal components analysis of Raman spectra to aid the diagnosis of alzheimer's disease. Lasers in Medical Science, 20. B10-B11. ISSN 0268-8921

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Abstract

Abstract of paper from the Joint BMLA and Lasercare Meeting 2005. In the UK 800,000 people suffer from Alzheimer's disease, a figure that is expected to double before 2050. Unlike other dementias, Alzheimer's is not simply an effect of ageing, but a disease that accounts for 65% of existing dementias suffered. Currently there is no diagnostic test for Alzheimer's disease. Patients showing symptoms must undergo rigorous physical, psychiatric and neurological examinations (upon which experienced clinicians can only be 90% positive) before diagnosis is attempted; conclusive proof only ensues at post-mortem. The presence of two structural markers, senile plaques and neurofibrillary tangles, are identified at this stage. The disease causes the break down of β-amyloid and tau proteins, destroying neurons. The remaining protein fragments form clumps observed as plaques and tangles.

Item type: Article
ID code: 6827
Notes: Joint BMLA and Lasercare Meeting 2005
Keywords: alzheimer's disease, raman spectra, bioengineering, dementia, Bioengineering, Physiology, Surgery, Dermatology
Subjects: Technology > Engineering (General). Civil engineering (General) > Bioengineering
Science > Physiology
Department: Faculty of Engineering > Bioengineering
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 03 Sep 2008
    Last modified: 04 Sep 2014 16:20
    URI: http://strathprints.strath.ac.uk/id/eprint/6827

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