Biology-guided deep learning predicts prognosis and cancer immunotherapy response

Substantial progress has been made in using deep learning for cancer detection and diagnosis in medical images. Yet, there is limited success on prediction of treatment response and outcomes, which has important implications for personalized treatment strategies. A significant hurdle for clinical tr...

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Detalles Bibliográficos
Autores principales: Jiang, Yuming, Zhang, Zhicheng, Wang, Wei, Huang, Weicai, Chen, Chuanli, Xi, Sujuan, Ahmad, M. Usman, Ren, Yulan, Sang, Shengtian, Xie, Jingjing, Wang, Jen-Yeu, Xiong, Wenjun, Li, Tuanjie, Han, Zhen, Yuan, Qingyu, Xu, Yikai, Xing, Lei, Poultsides, George A., Li, Guoxin, Li, Ruijiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447467/
https://www.ncbi.nlm.nih.gov/pubmed/37612313
http://dx.doi.org/10.1038/s41467-023-40890-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447467/
https://www.ncbi.nlm.nih.gov/pubmed/37612313
http://dx.doi.org/10.1038/s41467-023-40890-x

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