A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics
利用深度学习框架,通过推断转录组学数据,从组织病理学图像预测癌症治疗反应
期刊:Nature Cancer
影响因子:28.5
doi:10.1038/s43018-024-00793-2
Hoang, Danh-Tai; Dinstag, Gal; Shulman, Eldad D; Hermida, Leandro C; Ben-Zvi, Doreen S; Elis, Efrat; Caley, Katherine; Sammut, Stephen-John; Sinha, Sanju; Sinha, Neelam; Dampier, Christopher H; Stossel, Chani; Patil, Tejas; Rajan, Arun; Lassoued, Wiem; Strauss, Julius; Bailey, Shania; Allen, Clint; Redman, Jason; Beker, Tuvik; Jiang, Peng; Golan, Talia; Wilkinson, Scott; Sowalsky, Adam G; Pine, Sharon R; Caldas, Carlos; Gulley, James L; Aldape, Kenneth; Aharonov, Ranit; Stone, Eric A; Ruppin, Eytan