期刊文献+

Discovering genetic biomarkers for targeted cancer therapeutics with eXplainable Artificial Intelligence

原文传递
导出
摘要 High-Grade Serous Ovarian Cancer(HGSC)is the most prevalent and lethal form of gynecologic malignancies[1],accounting for 70%-80%of ovarian cancer fatalities.Despite decades of research,the overall survival rate for HGSC has remained largely unchanged[2],and patients with advanced stages of the disease have only a 41%chance of surviving beyond five years[3].
出处 《Cancer Communications》 SCIE 2024年第5期584-588,共5页 癌症通讯(英文)
基金 supported in part by grants from the National Institutes of Health/National Cancer Institute(5U01CA213759-02,P30CA016672) the American Cancer Society,National Science Foundation(CHE-1411859) an endowment grant fromthe John P.Gaines Foundation.Dr.Cristian Rodriguez-Aguayo and Dr.Paola Amero were supported by the Brain SPORE Career Enhancement Program and NCI grant P50CA127001 by the NIH through the Ovarian SPORE Career Enhancement Program and NCI grant P50CA217685.
关键词 CANCER CANCER TARGETED
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部