Skip to main content
Xinyan Chen on Muck Rack

Xinyan Chen

As seen in: Nature, Wiley Online Library, Frontiers, Frontiers in Public Health, MDPI, JAMA (The Journal of the American Medical Association), JAMA Internal Medicine Author Interviews, Royal Society of Chemistry, Canadian Journal of Infectious Diseases & Medical Microbiology, Mary Ann Liebert, Inc. and
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Xinyan

Contact Xinyan, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Best evidence summary of digital health interventions for self-management in patients with coronary artery disease

|
By Xinyan Chen, Haiyan Zheng, Yuxin Han, Xiyao Yang, Xinyu Wu, Wei Deng, Guilan Zhang, Yongyong Ding, Zhilian Zhang, Sha Yue, Lixiong Bi
| Frontiers in Public Health Verified
Abstract Objective: To systematically identify and synthesize the best available evidence on digital health interventions supporting self-management in patients with coronary artery disease (CAD). The aim of this study was to provide evidence-based guidance for healthcare professionals and to inform the development of digital intervention–based self-management programs that can support patients in optimizing their self-management behaviors and practices.
Open in Who Shared Issue with article?

Multi-scale and edge-aware IFGNet for precise skin lesion segmentation in high-resolution dermoscopic images

|
By Peiwen Tan, Jie Jia, Xinyan Chen
| Nature Verified
Abstract Accurate segmentation of dermoscopic images is essential for early melanoma diagnosis, yet current methods remain limited. CNN-based models capture local details but lack global context, whereas Transformer-based approaches model long-range dependencies but often lose fine structures; both struggle with blurred boundaries and scale variations.
Open in Who Shared Issue with article?

Global epidemiological trends, distribution of NTDs and malaria, and disease burden projections for the next 15 years

|
By Huan Huang, Yang Gao Verified, Huajing Zhu, Yameng Xu, Fanjin Meng, Xinyan Chen, Weibo Ma, Yuanyuan Li, Weilong Tan, Minli Li, Gengting Du, Jiaojiao Qian
| Frontiers in Public Health Verified
Abstract Background: This study investigates global and regional trends in the burden of malaria and neglected tropical diseases (NTDs) from 1990 to 2021, focusing on their changing patterns and influencing factors. Using data from the Global Burden of Disease study 2021 (GBD study 2021), we analyzed the incidence, prevalence, mortality, disability-adjusted life years (DALYs), and age-standardized rates (ASRs) of malaria and NTDs at both regional and global levels.
Open in Who Shared Issue with article?
See all 27 licensed articles (29 Total)