Assessment of Primary Human Liver Cancer Cells by Artificial Intelligence-Assisted Raman Spectroscopy

We investigated the possibility of using Raman spectroscopy assisted by artificial intelligence methods to identify liver cancer cells and distinguish them from their Non-Tumor counterpart. To this aim, primary liver cells (40 Tumor and 40 Non-Tumor cells) obtained from resected hepatocellular carci...

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Detalles Bibliográficos
Autores principales: Esposito, Concetta, Janneh, Mohammed, Spaziani, Sara, Calcagno, Vincenzo, Bernardi, Mario Luca, Iammarino, Martina, Verdone, Chiara, Tagliamonte, Maria, Buonaguro, Luigi, Pisco, Marco, Aversano, Lerina, Cusano, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670489/
https://www.ncbi.nlm.nih.gov/pubmed/37998378
http://dx.doi.org/10.3390/cells12222645

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670489/
https://www.ncbi.nlm.nih.gov/pubmed/37998378
http://dx.doi.org/10.3390/cells12222645

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