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

页码：226 / 227

页数：2

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