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November 28, 2025npj Precision OncologyOpen Access

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

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Authors

YXYongjie XuCXChangfa XiaSTShi-Yuan Tong

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Overview

CanRisk-DB compiles 445,646 records on cancer risk factors from 9,550 articles, indicating enhanced efficiency in risk analyses and prevention strategies.

Key Points

  • CanRisk-DB effectively aggregates 445,646 records on cancer risk factors from a large body of literature, strengthening research efforts.
  • The database incorporates findings from 9,550 relevant articles and spans 76 risk factor groups connected to diverse cancer types.
  • Analysis utilizes an AI-driven approach and adheres to the PICOS framework to streamline the synthesis of complex data.
  • Public access to CanRisk-DB may enhance evidence-informed prevention strategies across various populations globally.

Cite This Study

Xu et al. (2025) studied this question.

synapsesocial.com/papers/6928f11ba65b730b9ea7a235https://doi.org/10.1038/s41698-025-01161-8
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1CanRisk-DB: an artificial intelligence-driven comprehensive database of cancer risk factors2025 · 1 citations
  2. 2Abstract 2337: Mapping the associations of 144 incidence risk factors with 39 cancers: An AI-driven systematic review and meta-analysis2026
  3. 3CanRisk-GP protocol: A feasibility study of incorporating proactive multifactorial breast cancer risk assessment into general practice2025
  4. 4CanRisk-GP protocol: A feasibility study of incorporating proactive multifactorial breast cancer risk assessment into general practice2025
  5. 5Abstract 4968: Discovery of cancer-associated factors in 293.5 million diagnosis records using statistical machine learning analysis2024