Alzheimer Disease Detection from Raman Spectroscopy of the Cerebrospinal Fluid via Topological Machine Learning

The cerebrospinal fluid (CSF) of 19 subjects who received a clinical diagnosis of Alzheimer’s disease (AD) as well as of 5 pathological controls was collected and analyzed by Raman spectroscopy (RS). We investigated whether the raw and preprocessed Raman spectra could be used to distinguish AD from...

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Bibliographic Details

Main Authors:	Francesco Conti, Martina Banchelli, Valentina Bessi, Cristina Cecchi, Fabrizio Chiti, Sara Colantonio, Cristiano D’Andrea, Marella de Angelis, Davide Moroni, Benedetta Nacmias, Maria Antonietta Pascali, Sandro Sorbi, Paolo Matteini
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2023-10-01
Series:	Engineering Proceedings
Subjects:	topological data analysis machine learning Raman spectroscopy cerebrospinal fluid Alzheimer disease
Online Access:	https://www.mdpi.com/2673-4591/51/1/14
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