Combining Molecular, Imaging, and Clinical Data Analysis for Predicting Cancer Prognosis

SIMPLE SUMMARY: The rise of Big Data, the widespread use of Machine Learning, and the cheapening of omics techniques have allowed for the creation of more sophisticated and accurate models in biomedical research. This article presents the state-of-the-art predictive models of cancer prognosis that u...

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Detalles Bibliográficos
Autores principales: Lobato-Delgado, Barbara, Priego-Torres, Blanca, Sanchez-Morillo, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265023/
https://www.ncbi.nlm.nih.gov/pubmed/35804988
http://dx.doi.org/10.3390/cancers14133215

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265023/
https://www.ncbi.nlm.nih.gov/pubmed/35804988
http://dx.doi.org/10.3390/cancers14133215

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