Artificial Intelligence for Liquid Biopsy: FTIR Spectroscopy and Autoencoder-Based Detection of Cancer Biomarkers in Extracellular Vesicles

Extracellular vesicles (EVs) are increasingly recognized as promising non-invasive biomarkers for cancer and other diseases, but their clinical translation remains limited by the lack of comprehensive characterization strategies. Spectroscopic approaches such as Fourier-transform infrared (FTIR) spe...

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Bibliografske podrobnosti

Principais autores:	Riccardo Di Santo, Benedetta Niccolini, Enrico Rosa, Marco De Spirito, Fabrizio Pizzolante, Dario Pitocco, Linda Tartaglione, Alessandro Rizzi, Umberto Basile, Valentina Petito, Antonio Gasbarrini, Guido Gigante, Gabriele Ciasca
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-12-01
Serija:	Cells
Teme:	extracellular vesicles FTIR spectroscopy autoencoder latent features liquid biopsy hepatocellular carcinoma
Online dostop:	https://www.mdpi.com/2073-4409/14/23/1909
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