数字表型分析的综合临床益处：从广泛应用到全面影响。
The comprehensive clinical benefits of digital phenotyping: from broad adoption to full impact.
作者信息
Zhang Yingbo, Wang Jiao, Zong Hui, Singla Rajeev K, Ullah Amin, Liu Xingyun, Wu Rongrong, Ren Shumin, Shen Bairong
机构信息
Department of Urology, Institutes for Systems Genetics, and Center for High Altitude Medicine, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou, China.
出版信息
NPJ Digit Med. 2025 Apr 8;8(1):196. doi: 10.1038/s41746-025-01602-5.
Digital phenotyping collects health data digitally, supporting early disease diagnosis and health management. This paper systematically reviews the diversity of research methods in digital phenotyping and its clinical benefits, while also focusing on its importance within the P4 medicine paradigm and its core role in advancing its application in biobanks. Furthermore, the paper envisions the continued clinical benefits of digital phenotyping, driven by technological innovation, global collaboration, and policy support.
数字表型分析以数字方式收集健康数据，支持疾病早期诊断和健康管理。本文系统回顾了数字表型分析研究方法的多样性及其临床益处，同时还关注其在精准医疗范式中的重要性及其在推进其在生物样本库中应用的核心作用。此外，本文设想了在技术创新、全球合作和政策支持推动下数字表型分析持续带来的临床益处。
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