Artificial intelligence uses multi-omic data to predict pancreatic cancer outcomes

被引：2
|
作者：
Osipov, Arsen [1 ]
Theodorescu, Dan [1 ]
机构：
[1] Cedars Sinai Med Ctr, Los Angeles, CA 90048 USA
来源：
NATURE CANCER | 2024年 / 5卷 / 02期
关键词：
D O I：
10.1038/s43018-023-00698-6
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
We applied an artificial intelligence (AI) approach to a dataset of clinical and advanced multi-omic molecular features from patients with pancreatic adenocarcinoma to predict survival. The results reveal a tumor-type-agnostic platform that can identify parsimonious and robust clinical prediction biomarkers, catalyzing the vision to democratize precision oncology worldwide.
引用
收藏
页码：226 / 227
页数：2
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