QR-koodi

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...

Täydet tiedot

Tallennettuna:
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2025-12-01
Sarja:Cells
Aiheet:
extracellular vesicles
FTIR spectroscopy
autoencoder
latent features
liquid biopsy
hepatocellular carcinoma
Linkit:https://www.mdpi.com/2073-4409/14/23/1909
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia