The comprehensive clinical benefits of digital phenotyping: from broad adoption to full impact
文献类型： 外文期刊
作者： Zhang, Yingbo 1 ; Wang, Jiao 1 ; Zong, Hui 1 ; Singla, Rajeev K. 2 ; Ullah, Amin 2 ; Liu, Xingyun 1 ; Wu, Rongrong 1 ; Ren, Shumin 1 ; Shen, Bairong 1 ;
作者机构： 1.Sichuan Univ, West China Hosp, Inst Syst Genet, Dept Urol, Chengdu, Peoples R China
2.Sichuan Univ, West China Hosp, Ctr High Altitude Med, Frontiers Sci Ctr Dis Related Mol Network, Chengdu, Peoples R China
3.Chinese Acad Trop Agr Sci CATAS, Trop Crops Genet Resources Inst, Haikou, Peoples R China
4.Univ A Coruna, Dept Comp Sci & Informat Technol, La Coruna, Spain
5.Sichuan Univ, West China Hosp, Inst Syst Genet, Dept Pharm, Chengdu, Peoples R China
6.Lovely Profess Univ, Sch Pharmaceut Sci, Phagwara, India
7.Sichuan Univ, West China Tianfu Hosp, Chengdu, Sichuan, Peoples R China
期刊名称：NPJ DIGITAL MEDICINE （ 影响因子：15.1； 五年影响因子：17.0 ）
ISSN： 2398-6352
年卷期： 2025 年 8 卷 1 期
页码：
收录情况： SCI
摘要： 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.
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