2017年最佳数字生物标志物论文。
The Best Digital Biomarkers Papers of 2017.
作者信息
Snyder Christopher W, Dorsey E Ray, Atreja Ashish
机构信息
Center for Health + Technology, University of Rochester Medical Center, Rochester, New York, USA.
AppLab, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
出版信息
Digit Biomark. 2018 May 30;2(2):64-73. doi: 10.1159/000489224. eCollection 2018 May-Aug.
The use and evaluation of digital biomarkers, objective and quantifiable measures of biology, and health collected through digital devices is growing rapidly. To highlight some of the most promising work in the field, we have compiled a list of the top digital biomarkers papers from the past year. Eligible papers reported on original research that evaluated a digital sensor (e.g., smartphone, wearable sensor, implantable device) in humans and was published in a peer-reviewed journal in 2017. Nominations were solicited from the editorial board of and supplemented by papers the editorial team identified from Web of Science, Google Scholar, and PubMed. The editorial board then selected up to ten papers to be recognized among 28 nominations. Here, we present all of the nominated papers and profile the eight that received the most votes. The top eight papers evaluated 1,290 individuals with digital pills, smartwatches, wearable devices, and electronic inhalers in disease states ranging from dementia to diabetes and from Parkinson disease to pain.
数字生物标志物的使用与评估，即通过数字设备收集的生物学和健康的客观且可量化的指标，正在迅速发展。为了突出该领域一些最有前景的研究工作，我们编制了一份过去一年中顶级数字生物标志物论文的清单。符合条件的论文报道了对人类数字传感器（如智能手机、可穿戴传感器、植入式设备）进行评估的原创性研究，并于2017年发表在同行评审期刊上。提名由[期刊名称]编辑委员会征集，并由编辑团队从科学网、谷歌学术和PubMed中识别出的论文进行补充。编辑委员会随后从28项提名中选出了最多十篇予以认可。在此，我们展示所有提名论文，并介绍获得最多票数的八篇论文。排名前八的论文使用数字药丸、智能手表、可穿戴设备和电子吸入器对1290名处于从痴呆到糖尿病、从帕金森病到疼痛等疾病状态的个体进行了评估。
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