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

Author:

Conti Francesco12ORCID,Banchelli Martina3ORCID,Bessi Valentina4ORCID,Cecchi Cristina5ORCID,Chiti Fabrizio5ORCID,Colantonio Sara1ORCID,D’Andrea Cristiano3ORCID,de Angelis Marella3,Moroni Davide1ORCID,Nacmias Benedetta46ORCID,Pascali Maria Antonietta1ORCID,Sorbi Sandro46ORCID,Matteini Paolo3ORCID

Affiliation:

1. Institute of Information Science and Technologies “A. Faedo”, National Research Council, Via G. Moruzzi 1, 56124 Pisa, Italy

2. Department of Mathematics, University of Pisa, Largo B. Pontecorvo, 56127 Pisa, Italy

3. Institute of Applied Physics “N. Carrara”, National Research Council, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy

4. Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, 50134 Florence, Italy

5. Department of Clinical and Experimental Biomedical Sciences “Mario Serio”, University of Florence, 50134 Florence, Italy

6. IRCCS Fondazione Don Carlo Gnocchi, 50143 Florence, Italy

Publisher

MDPI

Reference16 articles.

1. Advantages and limitations of Raman spectroscopy for molecular diagnostics: An update;Eberhardt;Expert Rev. Mol. Diagn.,2015

2. Raman Spectroscopy Techniques for the Investigation and Diagnosis of Alzheimer’s Disease;Polykretis;FBS,2022

3. Accuracy of Raman spectroscopy in the diagnosis of Alzheimer’s disease;Xu;Front. Psychiatry,2023

4. Raman spectroscopy and topological machine learning for cancer grading;Conti;Sci. Rep.,2023

5. Biomarkers for Alzheimer’s disease: Current status and prospects for the future;Blennow;J. Intern. Med.,2018

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