质量细胞仪
基质
病理
免疫系统
肿瘤微环境
腺癌
癌症
癌症研究
医学
生物
免疫学
免疫组织化学
表型
遗传学
生物化学
基因
作者
Alessandra Rigamonti,Marika Viatore,Rebecca Polidori,Daoud Rahal,Marco Erreni,Maria Rita Fumagalli,Damiano Zanini,Andrea Doni,Anna Rita Putignano,Paola Bossi,Emanuele Voulaz,Marco Alloisio,Sabrina Rossi,Paolo Andrea Zucali,Armando Santoro,Vittoria Balzano,Paola Nisticò,Friedrich Feuerhake,Alberto Mantovani,Massimo Locati
出处
期刊:Cancer Research
[American Association for Cancer Research]
日期:2024-02-05
卷期号:84 (7): 1165-1177
被引量:20
标识
DOI:10.1158/0008-5472.can-23-1698
摘要
Leveraging artificial intelligence-powered H&E analysis integrated with hi-plex imaging mass cytometry provides insights into the tumor ecosystem and can translate tumor features into classifiers to predict prognosis, genotype, and therapy response.
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