Big data and artificial intelligence in cancer research

被引：5
|
作者：
Wu, Xifeng [1 ,2 ]
Li, Wenyuan [1 ,3 ]
Tu, Huakang [1 ,4 ]
机构：
[1] Zhejiang Univ, Affiliated Hosp 2, Sch Publ Hlth, Sch Med,Ctr Clin Big Data & Analyt,Dept Big Data H, Hangzhou, Zhejiang, Peoples R China
[2] Zhejiang Univ, Natl Inst Data Sci Hlth & Med, Hangzhou, Zhejiang, Peoples R China
[3] Key Lab Intelligent Prevent Med Zhejiang Prov, Hangzhou, Zhejiang, Peoples R China
[4] Zhejiang Univ, Canc Ctr, Hangzhou, Zhejiang, Peoples R China
来源：
TRENDS IN CANCER | 2024年 / 10卷 / 02期
关键词：
LUNG-CANCER; GENETIC-VARIANTS; ASSOCIATION; PREDICTION; DISEASE; RISK; IMMUNOTHERAPY; PD-L1; MODEL;
D O I：
10.1016/j.trecan.2023.10.006
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
The field of oncology has witnessed an extraordinary surge in the application of big data and artificial intelligence (AI). AI development has made multiscale and multimodal data fusion and analysis possible. A new era of extracting information from complex big data is rapidly evolving. However, challenges related to efficient data curation, in-depth analysis, and utilization remain. We provide a comprehensive overview of the current state of the art in big data and computational analysis, highlighting key applications, challenges, and future opportunities in cancer research. By sketching the current landscape, we seek to foster a deeper understanding and facilitate the advancement of big data utilization in oncology, call for interdisciplinary collaborations, ultimately contributing to improved patient outcomes and a profound understanding of cancer.
引用
收藏
页码：147 / 160
页数：14
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