Machine-learning aided in situ drug sensitivity screening predicts treatment outcomes in ovarian PDX tumors

Long-term treatment outcomes for patients with high grade ovarian cancers have not changed despite innovations in therapies. There is no recommended assay for predicting patient response to second-line therapy, thus clinicians must make treatment decisions based on each individual patient. Patient-d...

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Detalles Bibliográficos
Autores principales: Cotler, Max J., Ramadi, Khalil B., Hou, Xiaonan, Christodoulopoulos, Elena, Ahn, Sebastian, Bashyam, Ashvin, Ding, Huiming, Larson, Melissa, Oberg, Ann L., Whittaker, Charles, Jonas, Oliver, Kaufmann, Scott H., Weroha, S. John, Cima, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9136609/
https://www.ncbi.nlm.nih.gov/pubmed/35472731
http://dx.doi.org/10.1016/j.tranon.2022.101427

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9136609/
https://www.ncbi.nlm.nih.gov/pubmed/35472731
http://dx.doi.org/10.1016/j.tranon.2022.101427

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