CanRisk-DB:一个由人工智能驱动的癌症风险因素综合数据库
Yongjie Xu1, Changfa Xia1, Shiyuan Tong2
1Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
NPJ precision oncology
|November 25, 2025
概括
CanRisk-DB是一个新的人工智能数据库,巩固了癌症风险因素研究. 它提供了一个全面的知识基础,有助于了解癌症的原因和预防策略.
科学领域:
- 瘤学和生物信息学
- 人工智能在医学中的应用
- 流行病学 流行病学
背景情况:
- 癌症的发展涉及复杂,多样化的风险因素,但研究合成是具有挑战性的.
- 碎片化的证据阻碍了对癌症病因学的全面理解.
- 需要一个系统的方法来汇总和标准化癌症风险因素数据.
研究的目的:
- 开发一个人工智能驱动的数据库 (CanRisk-DB),以系统地汇总和标准化有关癌症相关风险因素的已公布证据.
- 创建一个全面的知识库,支持病因学研究和预防策略.
- 提高癌症风险因素信息的可发现性和可用性.
主要方法:
- 利用基于PICOS框架的多阶段AI管道分析了PubMed,Embase和Cochrane的435975篇出版物 (2000-2024年).
- 采用基于图形的检索增强生成框架来提取癌症类型,风险因素和定量估计 (RR,HR,SIR).
- 选了9550篇相关文章,编制了445,646份标准化记录,涵盖了76个风险因素组和42种癌症类型.
主要成果:
- CanRisk-DB成功地将来自大量科学文献的数据汇总和标准化.
- 该数据库涵盖了76个风险因素组和42种癌症类型,数据涵盖80个国家超过50年.
- 人工智能系统在文献选和数据提取方面表现出高准确性和效率.
结论:
- CanRisk-DB提供了一个公开可访问的,关于癌症风险因素的全面知识库.
- 该资源支持病因学研究,风险分析和基于证据的癌症预防策略的开发.
- 由人工智能驱动的方法为合成复杂的生物医学文献提供了一个可扩展的解决方案.
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