对生物标记物,心理指标和行为信号应用的计算方法的综合性审查,用于早期癌症风险检测
Lucia Bubulac1, Tudor Georgescu2, Mirela Zivari3,4
1Department of Family Medicine, Faculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.
Bioengineering (Basel, Switzerland)
|November 27, 2025
概括
将心理和行为数据与生物标志物的整合显示出早期癌症风险评估的前景. 先进的AI和数字健康平台可以提高查的可访问性和有效性.
科学领域:
- 在瘤学瘤学.
- 数字健康数字健康
- 计算生物学 计算生物学
背景情况:
- 癌症发病率和死亡率对全球健康构成重大挑战.
- 目前的癌症查主要使用组织学或免疫学生物标志物.
- 心理因素 (压力,焦虑,抑郁) 和行为影响癌症的脆弱性和进展,但在查中未得到充分利用.
研究的目的:
- 审查关于在早期癌症风险评估中整合生物,心理测量和数字行为数据的证据.
- 探索计算科学和人工智能 (AI) 在多式联网数据融合中对癌症查的作用.
- 突出数字卫生基础设施在改善查可访问性和覆盖率方面的潜力.
主要方法:
- 对癌症风险评估的多式联运数据集成现有证据的系统审查.
- 检查人工智能和计算科学的进步,以协调和融合各种数据类型.
- 讨论数字健康和远程医疗平台在查中的作用.
主要成果:
- 结合生物标记,心理测量分析和数字表型的多模式方法为早期癌症风险评估提供了潜力.
- 人工智能和计算方法可以实现复杂的数据融合和选的解释.
- 数字卫生基础设施对于提高查可访问性,监测和覆盖率至关重要.
结论:
- 将心理和行为数据与生物标志物相结合,可以显著改善癌症风险评估.
- 利用多式联网数据的AI辅助查范式对未来的医疗保健具有前景.
- 需要进一步的研究来验证癌症查中的心理和行为模式的预测价值.
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