{"title":"癌症研究中的大数据和人工智能。","authors":"Xifeng Wu, Wenyuan Li, Huakang Tu","doi":"10.1016/j.trecan.2023.10.006","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":23336,"journal":{"name":"Trends in cancer","volume":" ","pages":"147-160"},"PeriodicalIF":14.3000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Big data and artificial intelligence in cancer research.\",\"authors\":\"Xifeng Wu, Wenyuan Li, Huakang Tu\",\"doi\":\"10.1016/j.trecan.2023.10.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":23336,\"journal\":{\"name\":\"Trends in cancer\",\"volume\":\" \",\"pages\":\"147-160\"},\"PeriodicalIF\":14.3000,\"publicationDate\":\"2024-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trends in cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.trecan.2023.10.006\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/11/15 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.trecan.2023.10.006","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/11/15 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Big data and artificial intelligence in cancer research.
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.
期刊介绍：
Trends in Cancer, a part of the Trends review journals, delivers concise and engaging expert commentary on key research topics and cutting-edge advances in cancer discovery and medicine.
Trends in Cancer serves as a unique platform for multidisciplinary information, fostering discussion and education for scientists, clinicians, policy makers, and patients & advocates.Covering various aspects, it presents opportunities, challenges, and impacts of basic, translational, and clinical findings, industry R&D, technology, innovation, ethics, and cancer policy and funding in an authoritative yet reader-friendly format.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
