精准医学中的人工智能:改变疾病亚型,医学成像和药物基因组学
Andrea Rodriguez-Martinez1, Dilini Kothalawala2, Rodrigo M Carrillo-Larco3
1Medical Research Council Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K.
Emerging topics in life sciences
|August 20, 2025
概括
人工智能 (AI) 正在通过分析复杂的患者数据进行量身定制的治疗来彻底改变精准医学. 在临床应用方面仍然存在挑战,包括解释性和伦理.
科学领域:
- 生物医学信息学
- 计算生物学
- 医学人工智能
背景情况:
- 精准医学的目标是个性化治疗,使用"在正确的时间为正确的患者提供正确的药物".
- 不同的数据来源,如OMICS,电子健康记录和成像燃料精确医学的进步.
- 处理大型复杂的数据集需要复杂的分析工具.
研究的目的:
- 突出人工智能 (AI) 在推进精准医学中的作用.
- 讨论人工智能在整合和分析多方面的患者数据方面的潜力.
- 确定将人工智能工具转化为临床实践的挑战.
主要方法:
- 对处理和分析高维度生物医学数据的人工智能应用进行审查.
- 探索人工智能在疾病特征,预后和治疗反应方面的能力.
- 分析阻碍AI在精准医学中的临床实施的挑战.
主要成果:
- 人工智能擅长在复杂数据集中发现模式,
- 人工智能有助于整合和分析各种数据类型以改善患者护理.
- 人工智能在疾病特征,预后和预测治疗结果方面具有潜力.
结论:
- 人工智能是精准医学革命的关键驱动力,
- 人工智能的成功临床翻译需要解决可解释性,可靠性,通用性和道德问题.
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