Towards in-vivo detection of amyloid-? and tau in human CSF using machine learning based Raman spectroscopy

被引：1

作者：

Hiyani, Noaml ^{[1
]}

Sanjeev, Bhijit ^{[1
]}

Mor, Avshalom ^{[2
]}

Beiderman, Yevgeny ^{[2
,3
]}

Garcia, Javier ^{[4
]}

Zalevsky, Zeev ^{[1
]}

机构：

[1] Bar Ilan Univ, Fac Engn, IL-52900 Ramat Gan, Israel

[2] SuperSpectra Ltd, Lod, Israel

[3] Holon Inst Technol HIT, Fac Engn, IL-5810201 Holon, Israel

[4] Univ Valencia, Dept Opt, C Dr Moliner 50, Burjassot 46100, Spain

来源：

OPTICS CONTINUUM | 2023年 / 2卷 / 04期

关键词：

DOMINANT ALZHEIMERS-DISEASE; MILD COGNITIVE IMPAIRMENT; CEREBROSPINAL-FLUID; DEMENTIA; RECOGNITION; DIAGNOSTICS; PARKINSONS; BIOMARKERS; BETA;

D O I：

10.1364/OPTCON.471544

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

This paper aims to present initial proof of concept of a non-invasive early diagnostic tool for Alzheimer disease (AD). The approach is based on the identification using Raman spectroscopy and machine learning algorithms of two proteins that are linked with AD and exist in the cerebrospinal fluid (CSF). As demonstrated in previous studies, the concentration of the proteins amyloid-beta and tau may indicate the existence of AD. The proteins' concentration in the CSF signifies the condition of AD. The current study can contribute to the existing body of knowledge by enabling the development of a non-invasive diagnostic tool that may help with early diagnosis of AD.

引用

页码：847 / 855

页数：9