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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Detalhes bibliográficos
Main Authors: Allison Gockley, Konrad Pagacz, Stephen Fiascone, Konrad Stawiski, Nicole Holub, Kathleen Hasselblatt, Daniel W. Cramer, Wojciech Fendler, Dipanjan Chowdhury, Kevin M. Elias
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2022-04-01
Colecção:Frontiers in Oncology
Assuntos:
ovarian cancer
screening
microRNA
xenograft
neural networks
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fonc.2022.786154/full
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