A Translational Model to Improve Early Detection of Epithelial Ovarian Cancers

Neural network analyses of circulating miRNAs have shown potential as non-invasive screening tests for ovarian cancer. A clinically useful test would detect occult disease when complete cytoreduction is most feasible. Here we used murine xenografts to sensitize a neural network model to detect low v...

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Detalles Bibliográficos
Autores principales: Gockley, Allison, Pagacz, Konrad, Fiascone, Stephen, Stawiski, Konrad, Holub, Nicole, Hasselblatt, Kathleen, Cramer, Daniel W., Fendler, Wojciech, Chowdhury, Dipanjan, Elias, Kevin M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068948/
https://www.ncbi.nlm.nih.gov/pubmed/35530324
http://dx.doi.org/10.3389/fonc.2022.786154

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068948/
https://www.ncbi.nlm.nih.gov/pubmed/35530324
http://dx.doi.org/10.3389/fonc.2022.786154

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