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Rosa Luisa Ambrosio

affiliation not provided to SSRN

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Machine Learning-Enhanced SERS on Silicon-Gold Sensors for Ultra-High-Throughput Pathogen Detection

Number of pages: 41 Posted: 19 Sep 2025
Bryan Guilcapi, Alessia Milano, Amalia D’Avino, Domenico Sagnelli, Massimo Rippa, Valentina Marchesano, Ivan Salvatore Perrotta, Rosa Luisa Ambrosio, Giovanna Fusco, Maurizio Brigotti, Stefano Morabito and Lucia Petti
affiliation not provided to SSRN, affiliation not provided to SSRN, University of Naples Parthenope, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Experimental Zooprophylactic Institute of Apulia and Basilicata, affiliation not provided to SSRN, Istituto Superiore di Sanità - Department of Veterinary Public Health and Food Safety and affiliation not provided to SSRN
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Abstract:

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Surface-enhanced Raman spectroscopy, Machine Learning, Pathogen Detection, biosensing, Artificial Intelligence, Automated diagnostics