在帕金森病的数字生物标志物
1Department of Neurology, Medical School, Aeginition Hospital, National and Kapodistrian University of Athens, Athens, Greece.
Advances in clinical chemistry
|August 24, 2024
概括
数字生物标志物 (DBs) 为帕金森病 (PD) 患者提供客观监测,特别是在晚期. 然而,标准化和验证对于它们的广泛临床采用和与AI/ML分析的整合至关重要.
科学领域:
- 神经学 神经学
- 生物医学工程 生物医学工程
- 数字健康数字健康
背景情况:
- 数字生物标志物 (DBs) 为帕金森病 (PD) 评估提供客观,现实世界的措施.
- 基于智能手机的惯性传感器显示出对监测PD症状和进展的希望.
- 目前的局限性包括缺乏在临床实践中用于DB的标准化验证和共识.
研究的目的:
- 为帕金森病中数字生物标志物应用提供最新的审查.
- 突出使用DBs用于PD诊断和监测的潜在好处和局限性.
- 建议未来的研究方向,用于DBs的临床验证.
主要方法:
- 关于在帕金森病中使用数字生物标志物的现有证据的审查.
- 对临床试验评估DB性能与传统评估工具的分析.
- 讨论DB的分析和临床验证挑战.
主要成果:
- 数字生物标志物显示出改善PD患者监测,治疗和治疗结果的潜力.
- 人工智能和机器学习可以利用数据库数据进行先进的患者分析.
- 在标准化和验证用于广泛临床使用的DBs方面仍然存在重大挑战.
结论:
- 数字生物标志物对提高帕金森病管理,特别是晚期疾病的管理具有相当大的前景.
- 标准化,协调和强有力的临床验证对于成功将DB集成到常规护理中至关重要.
- 需要进一步的研究来克服当前的局限性,并充分实现PD中DB的潜力.
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