在形双胞胎中以人工智能为动力:通过模拟,个性化和预测性医疗保健重新定义精准医学
1Department of Pharmaceutics, College of Pharmacy, Shaqra University, Al-Dawadmi Campus, Al-Dawadmi, 11961, Shaqra, Saudi Arabia. s_alHarthi@su.edu.sa.
概括
在形双胞胎 (ISTs) 是先进的人工智能驱动的患者复制品,集成实时数据用于个性化医疗. 这些动态模型通过模拟和优化治疗结果,使主动医疗成为可能.
科学领域:
- 生物医学信息学 生物医学信息学
- 计算生物学 计算生物学
- 数字健康数字健康
背景情况:
- 精准医学需要动态的,针对患者的特定模型.
- 目前的数字工具缺乏实时自适应模拟能力.
- 在形双胞胎 (ISTs) 提供了个性化医疗保健的新方法.
研究的目的:
- 定义和表征在形双胞胎 (ISTs).
- 探索信息通信技术的技术基础和临床应用.
- 区分IST与其他计算模型,并为其采用提供框架.
主要方法:
- 人工智能 (AI) 和机械模型 (PBPK,QSP) 的整合.
- 实时整合多式联运患者特定数据流.
- 开发用于持续监测和预测的模拟引擎.
主要成果:
- 国际信息技术提供了高可靠性,人工智能增强的生物系统的计算复制品.
- 这些系统能够进行预测性诊断和个性化治疗规划.
- 国际医疗技术促进了与患者状态演变的代性,适应性模拟.
结论:
- 国际医疗技术代表着向模拟驱动的,个性化医学的重大进步.
- 它们为改善患者的治疗结果和加速药物发现提供了巨大的潜力.
- 该审查提供了信息通信技术的分类,验证检查清单和部署蓝图.
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