Supervised learning based on tumor imaging and biopsy transcriptomics predicts response of hepatocellular carcinoma to transarterial chemoembolization

Although transarterial chemoembolization (TACE) is the most widely used treatment for intermediate-stage, unresectable hepatocellular carcinoma (HCC), it is only effective in a subset of patients. In this study, we combine clinical, radiological, and genomics data in supervised machine-learning mode...

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Detalles Bibliográficos
Autores principales: Boldanova, Tuyana, Fucile, Geoffrey, Vosshenrich, Jan, Suslov, Aleksei, Ercan, Caner, Coto-Llerena, Mairene, Terracciano, Luigi M., Zech, Christoph J., Boll, Daniel T., Wieland, Stefan, Heim, Markus H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8606904/
https://www.ncbi.nlm.nih.gov/pubmed/34841291
http://dx.doi.org/10.1016/j.xcrm.2021.100444

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8606904/
https://www.ncbi.nlm.nih.gov/pubmed/34841291
http://dx.doi.org/10.1016/j.xcrm.2021.100444

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