癌症
癌症医学
精密医学
个性化医疗
计算生物学
透视图(图形)
生物
医学
生物信息学
计算机科学
内科学
病理
人工智能
作者
Xiaoping Cen,Yuanyuan Lan,Jiansheng Zou,Ruilin Chen,Can Hu,Yahan Tong,Chen Zhang,Jie Chen,Y Wang,Run Zhou,Weiwei He,Tianyu Lu,Fred Dubee,Dragomirka Jovic,Wei Dong,Qingqing Gao,Man Ma,Youyong Lu,Xue Yu,Xiangdong Cheng
摘要
Abstract Advances in multi‐omics datasets and analytical methods have revolutionized cancer research, offering a comprehensive, pan‐cancer perspective. Pan‐cancer studies identify shared mechanisms and unique traits across different cancer types, which are reshaping diagnostic and treatment strategies. However, continued innovation is required to refine these approaches and deepen our understanding of cancer biology and medicine. This review summarized key findings from pan‐cancer research and explored their potential to drive future advancements in oncology.
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