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大数据和人工智能在癌症研究中的应用。

Big data and artificial intelligence in cancer research.

机构信息

Department of Big Data in Health Science, School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; National Institute for Data Science in Health and Medicine, Zhejiang University, Hangzhou, Zhejiang, China.

Department of Big Data in Health Science, School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, China.

出版信息

Trends Cancer. 2024 Feb;10(2):147-160. doi: 10.1016/j.trecan.2023.10.006. Epub 2023 Nov 15.

Abstract

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.

摘要

肿瘤学领域见证了大数据和人工智能(AI)的非凡应用。AI 的发展使得多尺度和多模态数据融合和分析成为可能。一个从复杂大数据中提取信息的新时代正在迅速发展。然而,与有效数据管理、深入分析和利用相关的挑战仍然存在。我们全面概述了大数据和计算分析的最新技术,重点介绍了癌症研究中的关键应用、挑战和未来机遇。通过勾勒当前的格局,我们旨在促进对大数据在肿瘤学中的应用的深入理解,并促进跨学科合作,最终提高患者的治疗效果并深入了解癌症。

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