Dear Colleague,

The use of mobile devices by health care professionals has transformed many aspects of clinical practice. Mobile devices are now commonplace in health care settings, leading to rapid growth in the development of medical software applications. These apps are now available to assist with many important tasks, such as information and time management, health record maintenance, communications and consulting, clinical decision-making; and medical education and training. If you are conducting innovative, exciting research focused on the study of Mobile Devices in Healthcare, we encourage you to submit to Health Data Science, a Science Partner Journal (SPJ).

  All Article Processing Charges (APCs) Waived Until 2025.

Below are a few of the cutting-edge papers on this topic already published in Health Data Science. As always with the Science Partner Journals, all content is free to access.

Recent Progress in Wearable Brain–Computer Interface (BCI) Devices Based on Electroencephalogram (EEG) for Medical Applications: A Review
Jiayan Zhang, Junshi Li, Zhe Huang, Dong Huang, Huaiqiang Yu, and Zhihong Li

Using Mobile Phone Data to Assess Socio-Economic Disparities in Unhealthy Food Reliance during the COVID-19 Pandemic
Charles Alba and Ruopeng An

Stratification of Patients with Diabetes Using Continuous Glucose Monitoring Profiles and Machine Learning
Yinan Mao, Kyle Xin Quan Tan, Augustin Seng, Peter Wong, Sue-Anne Toh, and Alex R. Cook

Mobile Phone-Based Population Flow Data for the COVID-19 Outbreak in Mainland China
Xin Lu, Jing Tan, Ziqiang Cao, Yiquan Xiong, Shuo Qin, Tong Wang, Chunrong Liu, Shiyao Huang, Wei Zhang, Laurie B. Marczak, Simon I. Hay, Lehana Thabane, Gordon H. Guyatt, and Xin Sun

Health Data Science is a peer reviewed, Open Access journal published in affiliation with Peking University (PKU) and distributed by the American Association for the Advancement of Science (AAAS). It is also supported by the Advanced Institute of Information Technology. This journal is dedicated to supporting scientific activities that further its mission: data for better health. To learn more about our waived article processing charges (APCs) click here.

We hope you will consider submitting your research to Health Data Science.

Sincerely,

Editor-in-Chief,
Qimin Zhan, Chinese Academy of Engineering and Peking University

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