CanRisk-DB: an artificial intelligence-driven comprehensive database of cancer risk factors

database[Title] 2025-11-26

Summary:

Cancer development is influenced by a complex interplay of diverse risk factors, but synthesizing this fragmented research remains challenging. To address this, we developed CanRisk-DB, an Artificial intelligence (AI)-driven database that systematically aggregates and standardizes published evidence on cancer-associated risk factors. Using a multi-stage AI pipeline based on the PICOS framework, we analyzed 435,975 publications from PubMed, Embase, and Cochrane (2000-2024), employing a...

Link:

https://pubmed.ncbi.nlm.nih.gov/41286496/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=12QQbiNmM99eUQGIX1JjHIKcROC1Vzv4sOS-2S_LNI19uG_Yrk&fc=20220129225649&ff=20251126033820&v=2.18.0.post22+67771e2

From feeds:

📚BioDBS Bibliography » database[Title]

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Authors:

Yongjie Xu, Changfa Xia, Shiyuan Tong, Hui Yu, Fang Liu, Shiqing Chen, Jing Liu, Yujie Wu, Jiachen Wang, Qianru Li, Sibo Zhu, Wanqing Chen

Date tagged:

11/26/2025, 03:38

Date published:

11/25/2025, 06:00