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人工智能用于免疫瘤学中的预测生物标志物发现:系统性审查
A Prelaj1, V Miskovic2, M Zanitti3
1Medical Oncology Department, Fondazione IRCCS Istituto Nazionale Tumori, Milan; Nearlab, Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milano, Italy; ESMO Real World Data and Digital Health Working Group, ESMO, Lugano, Switzerland.
概括
人工智能 (AI) 通过分析各种癌症数据,增强免疫检查点抑制剂 (ICI) 疗效预测. 虽然有希望,但需要前性研究来将AI生物标志物纳入临床实践.
科学领域:
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
- 人工智能的人工智能
背景情况:
- 免疫检查点抑制剂 (ICI) 已经改变了癌症治疗,但患者选择仍然是一个挑战.
- 人工智能 (AI) 提供了一种强大的方法来分析高维的瘤数据,用于精确的免疫瘤学.
- 开发人工智能驱动的预测模型对于优化ICI治疗至关重要.
结论:
- 以人工智能为基础的方法在发现生物标志物和预测ICI反应方面显示出重大前景.
- 将多式联运数据与人工智能集成,可以发现新的meta-biomarkers.
- 目前缺乏立即改变临床实践的高级别证据;前性试验对于验证AI生物标志物至关重要.
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