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收藏Machine learning (ML)-spatial quantification of the tumor microenvironment (TME) identifies differences associated with response to bintrafusp alfa (BA) vs pembrolizumab (PEM) treatment in the Phase 3 INTR@PID Lung 037 study
Abel, John; Machl, Andreas; Gerhold-Ay, Aslihan; Yu, Limin; Sanghavi, Darpan; Trotter, Ben; Patel, Neel; Gerardin, Ylaine; Srinivasan, Ramprakash; Brutus, Sergine; Mrowiec, Thomas
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收藏Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes来自密集映射的癌症病理幻灯片的人类可解释的图像特征预测了不同的分子表型
Diao, James A.; Wang, Jason K.; Chui, Wan Fung; Mountain, Victoria; Gullapally, Sai Chowdary; Srinivasan, Ramprakash; Mitchell, Richard N.; Glass, Benjamin; Hoffman, Sara; Rao, Sudha K.; Maheshwari, Chirag; Lahiri, Abhik; Prakash, Aaditya; McLoughlin, Ryan; Kerner, Jennifer K.; Resnick, Murray B.; Montalto, Michael C.; Khosla, Aditya; Wapinski, Ilan N.; Beck, Andrew H.; Elliott, Hunter L.; Taylor-Weiner, Amaro
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