Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer

Patients with high-grade serous ovarian cancer suffer poor prognosis and variable response to treatment. Known prognostic factors for this disease include homologous recombination deficiency status, age, pathological stage and residual disease status after debulking surgery. Recent work has highligh...

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Detalles Bibliográficos
Autores principales: Boehm, Kevin M., Aherne, Emily A., Ellenson, Lora, Nikolovski, Ines, Alghamdi, Mohammed, Vázquez-García, Ignacio, Zamarin, Dmitriy, Long Roche, Kara, Liu, Ying, Patel, Druv, Aukerman, Andrew, Pasha, Arfath, Rose, Doori, Selenica, Pier, Causa Andrieu, Pamela I., Fong, Chris, Capanu, Marinela, Reis-Filho, Jorge S., Vanguri, Rami, Veeraraghavan, Harini, Gangai, Natalie, Sosa, Ramon, Leung, Samantha, McPherson, Andrew, Gao, JianJiong, Lakhman, Yulia, Shah, Sohrab P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239907/
https://www.ncbi.nlm.nih.gov/pubmed/35764743
http://dx.doi.org/10.1038/s43018-022-00388-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239907/
https://www.ncbi.nlm.nih.gov/pubmed/35764743
http://dx.doi.org/10.1038/s43018-022-00388-9

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