Digital biomarkers in chronic disease management: a systematic review of personalization and ethical challenges.

Personalized medicine Pub Date : 2026-06-01 Epub Date: 2026-06-08 DOI:10.1080/17410541.2026.2682847
Shrivats Manikandan, Steiv Shore, Daniel Waszczuk, Sumitra Miriyala, Gayathri Sadanala
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Abstract

Introduction: Chronic diseases remain leading contributors to global mortality, yet digital biomarkers offer transformative potential for personalized management. This systematic review evaluates the clinical performance of digital biomarkers across multiple chronic disease areas and the ethical, privacy, and equity barriers to their adoption.

Methods: Following PRISMA guidelines, we searched PubMed (January 2010-August 2024) for studies evaluating digital biomarkers in chronic disease management. English-language, peer-reviewed studies reporting original empirical data were included; reviews and protocols were retained as contextual references. Study quality was assessed qualitatively given heterogeneity in designs and outcome metrics, precluding meta-analysis.

Results: Sixty-eight studies (33 primary empirical, 35 contextual) were included, spanning cardiovascular disease, diabetes, respiratory conditions, neurological disorders, and mental health. Key findings included 100% atrial fibrillation detection sensitivity (KardiaMobile), 92-94% seizure detection sensitivity (Embrace Watch), significant HbA1c improvement with smart insulin pens (p = 0.006), and 87% versus 74% CPAP adherence with smart monitoring. However, device costs ($80-$1,690), regulatory gaps, limited population diversity in validation studies, and poor data interoperability hinder equitable adoption.

Conclusions: Digital biomarkers demonstrate strong clinical utility but require harmonized regulatory standards, diverse-population validation, algorithmic transparency, and expanded reimbursement to achieve equitable, personalized chronic disease management. Evidence remains preliminary, necessitating large-scale, multi-site trials.

慢性疾病管理中的数字生物标志物:个性化和伦理挑战的系统回顾。
慢性疾病仍然是全球死亡的主要原因,但数字生物标志物为个性化管理提供了变革性潜力。本系统综述评估了数字生物标志物在多种慢性疾病领域的临床表现,以及采用这些标志物的伦理、隐私和公平障碍。方法:根据PRISMA指南,我们检索PubMed(2010年1月- 2024年8月)中评估数字生物标志物在慢性疾病管理中的研究。纳入了报告原始经验数据的英文、同行评议的研究;保留评论和协议作为上下文参考。考虑到设计和结果指标的异质性,排除了meta分析,对研究质量进行了定性评估。结果:纳入了68项研究(33项主要实证研究,35项背景研究),涵盖心血管疾病、糖尿病、呼吸系统疾病、神经系统疾病和精神健康。主要发现包括房颤检测灵敏度100% (KardiaMobile),癫痫检测灵敏度92-94% (Embrace Watch),智能胰岛素笔显著改善HbA1c (p = 0.006),智能监测下CPAP依从性87%对74%。然而,设备成本(80- 1690美元)、监管缺口、验证研究中有限的人群多样性以及数据互操作性差阻碍了公平采用。结论:数字生物标志物显示出强大的临床效用,但需要统一的监管标准、多样化的人群验证、算法透明度和扩大报销,以实现公平、个性化的慢性疾病管理。证据仍然是初步的,需要进行大规模、多地点的试验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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