Artificial intelligence fusion for predicting survival of rectal cancer patients using immunohistochemical expression of Ras homolog family member B in biopsy

AIM: The process of biomarker discovery is being accelerated with the application of artificial intelligence (AI), including machine learning. Biomarkers of diseases are useful because they are indicators of pathogenesis or measures of responses to therapeutic treatments, and therefore, play a key r...

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Detalles Bibliográficos
Autores principales: Pham, Tuan D., Ravi, Vinayakumar, Luo, Bin, Fan, Chuanwen, Sun, Xiao-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Open Exploration 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017185/
https://www.ncbi.nlm.nih.gov/pubmed/36937315
http://dx.doi.org/10.37349/etat.2023.00119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017185/
https://www.ncbi.nlm.nih.gov/pubmed/36937315
http://dx.doi.org/10.37349/etat.2023.00119

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