糖尿病预测和管理中的数字双胞胎范式
David B Olawade1, Rita Chikeru Owhonda2, John Oluwatosin Alabi3
1Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London, United Kingdom; Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom; Department of Business, Management and Health, York St John University, London E14 2BA, United Kingdom.
Diabetes research and clinical practice
|December 31, 2025
概括
数字双胞胎技术通过创建虚拟患者复制品,提供了有前途的主动糖尿病管理. 为了在糖尿病护理中得到广泛的临床采用和公平的应用,需要进一步的验证.
科学领域:
- * 数字健康数字健康
- * 计算机建模 * 计算建模
- * * 精准医学是一门精准的医学.
背景情况:
- * 传统的糖尿病管理是反应性的,导致控制不良和并发症.
- *数字双胞胎 (DT) 技术通过虚拟复制品提供了一个主动的,个性化的方法.
- *目前在糖尿病中使用DT需要进一步的临床验证和可行性评估.
研究的目的:
- * 审查数字双胞胎技术在糖尿病预测和管理中的当前应用.
- * 检查在糖尿病护理中DT的挑战和未来潜力.
- * 综合了关于DT在葡萄糖预测,胰岛素剂量和并发症风险方面的证据.
主要方法:
- * 在PubMed,Scopus,Web of Science和IEEE Xplore (2015-2024) 中进行全面的文献搜索.
- * 关于糖尿病中DT,预测建模和治疗优化方面的同行评审文章的批判综合.
- * 方法论方法,绩效指标和实施挑战的比较.
主要成果:
- *数字双胞胎在葡萄糖预测,个性化胰岛素剂量,饮食优化和并发症风险评估方面显示出潜力.
- * 连续血糖监测,可穿戴传感器和机器学习算法的整合增强了DT的能力.
- *证据质量各不相同,大多数研究都是概念验证或试点实施.
结论:
- *数字双胞胎技术是精确糖尿病护理的一个不断发展的范式.
- *解决数据隐私,验证要求和集成复杂性对于实施至关重要.
- * 长期有效性,算法偏差缓解和通用性需要进一步调查才能得到公平的采用.
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