Application of informatics in cancer research and clinical practice: Opportunities and challenges
Abstract Cancer informatics has significantly progressed in the big data era. We summarize the application of informatics approaches to the cancer domain from both the informatics perspective (e.g., data management and data science) and the clinical perspective (e.g., cancer screening, risk assessme...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-06-01
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| Series: | Cancer Innovation |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/cai2.9 |
| _version_ | 1828126424407474176 |
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| author | Na Hong Gang Sun Xiuran Zuo Meng Chen Li Liu Jiani Wang Xiaobin Feng Wenzhao Shi Mengchun Gong Pengcheng Ma |
| author_facet | Na Hong Gang Sun Xiuran Zuo Meng Chen Li Liu Jiani Wang Xiaobin Feng Wenzhao Shi Mengchun Gong Pengcheng Ma |
| author_sort | Na Hong |
| collection | DOAJ |
| description | Abstract Cancer informatics has significantly progressed in the big data era. We summarize the application of informatics approaches to the cancer domain from both the informatics perspective (e.g., data management and data science) and the clinical perspective (e.g., cancer screening, risk assessment, diagnosis, treatment, and prognosis). We discuss various informatics methods and tools that are widely applied in cancer research and practices, such as cancer databases, data standards, terminologies, high‐throughput omics data mining, machine‐learning algorithms, artificial intelligence imaging, and intelligent radiation. We also address the informatics challenges within the cancer field that pursue better treatment decisions and patient outcomes, and focus on how informatics can provide opportunities for cancer research and practices. Finally, we conclude that the interdisciplinary nature of cancer informatics and collaborations are major drivers for future research and applications in clinical practices. It is hoped that this review is instrumental for cancer researchers and clinicians with its informatics‐specific insights. |
| first_indexed | 2024-04-11T15:35:13Z |
| format | Article |
| id | doaj.art-fb9248cc20b34aa487aa64c5bc0a1604 |
| institution | Directory Open Access Journal |
| issn | 2770-9183 |
| language | English |
| last_indexed | 2024-04-11T15:35:13Z |
| publishDate | 2022-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cancer Innovation |
| spelling | doaj.art-fb9248cc20b34aa487aa64c5bc0a16042022-12-22T04:16:03ZengWileyCancer Innovation2770-91832022-06-0111809110.1002/cai2.9Application of informatics in cancer research and clinical practice: Opportunities and challengesNa Hong0Gang Sun1Xiuran Zuo2Meng Chen3Li Liu4Jiani Wang5Xiaobin Feng6Wenzhao Shi7Mengchun Gong8Pengcheng Ma9Department of Medical Sciences Digital Health China Technologies Co., Ltd. Beijing ChinaXinjiang Cancer Center, Key Laboratory of Oncology of Xinjiang Uyghur Autonomous Region The Affiliated Cancer Hospital of Xinjiang Medical University Ürümqi ChinaDepartment of Information, Central Hospital of Wuhan Tongji Medical College, Huazhong University of Science and Technology Wuhan ChinaNational Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaBig Data Center, Nanfang Hospital Southern Medical University Guangzhou ChinaNational Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaHepato‐Pancreato‐Biliary Center, Beijing Tsinghua Changgung Hospital School of Clinical Medicine, Tsinghua University Beijing ChinaDepartment of Medical Sciences Digital Health China Technologies Co., Ltd. Beijing ChinaDepartment of Medical Sciences Digital Health China Technologies Co., Ltd. Beijing ChinaBig Data Center, Nanfang Hospital Southern Medical University Guangzhou ChinaAbstract Cancer informatics has significantly progressed in the big data era. We summarize the application of informatics approaches to the cancer domain from both the informatics perspective (e.g., data management and data science) and the clinical perspective (e.g., cancer screening, risk assessment, diagnosis, treatment, and prognosis). We discuss various informatics methods and tools that are widely applied in cancer research and practices, such as cancer databases, data standards, terminologies, high‐throughput omics data mining, machine‐learning algorithms, artificial intelligence imaging, and intelligent radiation. We also address the informatics challenges within the cancer field that pursue better treatment decisions and patient outcomes, and focus on how informatics can provide opportunities for cancer research and practices. Finally, we conclude that the interdisciplinary nature of cancer informatics and collaborations are major drivers for future research and applications in clinical practices. It is hoped that this review is instrumental for cancer researchers and clinicians with its informatics‐specific insights.https://doi.org/10.1002/cai2.9artificial intelligence applicationcancer informaticsmachine learning |
| spellingShingle | Na Hong Gang Sun Xiuran Zuo Meng Chen Li Liu Jiani Wang Xiaobin Feng Wenzhao Shi Mengchun Gong Pengcheng Ma Application of informatics in cancer research and clinical practice: Opportunities and challenges Cancer Innovation artificial intelligence application cancer informatics machine learning |
| title | Application of informatics in cancer research and clinical practice: Opportunities and challenges |
| title_full | Application of informatics in cancer research and clinical practice: Opportunities and challenges |
| title_fullStr | Application of informatics in cancer research and clinical practice: Opportunities and challenges |
| title_full_unstemmed | Application of informatics in cancer research and clinical practice: Opportunities and challenges |
| title_short | Application of informatics in cancer research and clinical practice: Opportunities and challenges |
| title_sort | application of informatics in cancer research and clinical practice opportunities and challenges |
| topic | artificial intelligence application cancer informatics machine learning |
| url | https://doi.org/10.1002/cai2.9 |
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